experiment_id
stringlengths 24
40
| timestamp
stringdate 2025-07-02 16:22:36
2025-07-13 19:52:27
| QWK_mean
float64 -0.02
0.73
| QWK_lower_95ci
float64 -0.18
0.65
| QWK_upper_95ci
float64 0
0.8
| QWK_ci_width
float64 0.02
0.36
| Macro_F1_mean
float64 0.01
0.54
| Macro_F1_lower_95ci
float64 0
0.41
| Macro_F1_upper_95ci
float64 0.03
0.69
| Macro_F1_ci_width
float64 0.03
0.34
| Weighted_F1_mean
float64 0.01
0.71
| Weighted_F1_lower_95ci
float64 0
0.64
| Weighted_F1_upper_95ci
float64 0.04
0.79
| Weighted_F1_ci_width
float64 0.04
0.19
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
deepseekR1-extractor-C1-essay_only
|
2025-07-12 17:02:43
| 0.209351 | 0.152702 | 0.271559 | 0.118857 | 0.073698 | 0.027179 | 0.138043 | 0.110864 | 0.118019 | 0.056455 | 0.18582 | 0.129365 |
deepseekR1-extractor-C1-full_context
|
2025-07-07 18:40:41
| 0.203631 | 0.150645 | 0.260275 | 0.10963 | 0.035821 | 0.012124 | 0.063458 | 0.051335 | 0.081571 | 0.026396 | 0.140775 | 0.114379 |
deepseekR1-extractor-C2-essay_only
|
2025-07-12 16:35:21
| -0.006785 | -0.018003 | 0 | 0.018003 | 0.008812 | 0 | 0.029412 | 0.029412 | 0.013357 | 0 | 0.040514 | 0.040514 |
deepseekR1-extractor-C2-full_context
|
2025-07-07 20:03:32
| 0.509527 | 0.388567 | 0.626522 | 0.237954 | 0.280853 | 0.194454 | 0.378835 | 0.18438 | 0.317532 | 0.232485 | 0.406958 | 0.174473 |
deepseekR1-extractor-C3-essay_only
|
2025-07-12 16:37:32
| 0.40255 | 0.270722 | 0.527015 | 0.256293 | 0.269066 | 0.189393 | 0.365101 | 0.175707 | 0.320445 | 0.241027 | 0.401966 | 0.160938 |
deepseekR1-extractor-C3-full_context
|
2025-07-07 20:04:11
| 0.523303 | 0.403791 | 0.63688 | 0.233089 | 0.311444 | 0.235496 | 0.395476 | 0.159981 | 0.400644 | 0.312494 | 0.489793 | 0.177299 |
deepseekR1-extractor-C4-essay_only
|
2025-07-12 16:38:25
| 0.522768 | 0.416149 | 0.623351 | 0.207202 | 0.322383 | 0.231229 | 0.458069 | 0.22684 | 0.527456 | 0.442384 | 0.609317 | 0.166933 |
deepseekR1-extractor-C4-full_context
|
2025-07-07 20:06:05
| 0.554011 | 0.4484 | 0.656195 | 0.207795 | 0.356864 | 0.261054 | 0.504145 | 0.243091 | 0.594183 | 0.512058 | 0.674638 | 0.16258 |
deepseekR1-extractor-C5-essay_only
|
2025-07-12 16:38:58
| 0.61679 | 0.485715 | 0.732221 | 0.246506 | 0.351035 | 0.284708 | 0.42372 | 0.139012 | 0.384874 | 0.303705 | 0.470424 | 0.166719 |
deepseekR1-extractor-C5-full_context
|
2025-07-07 20:07:37
| 0.609653 | 0.477622 | 0.730416 | 0.252794 | 0.37274 | 0.301336 | 0.449657 | 0.148321 | 0.420262 | 0.333588 | 0.508638 | 0.17505 |
deepseekR1-graderPrompt-C1-essay_only
|
2025-07-06 20:26:40
| 0.434618 | 0.359427 | 0.508414 | 0.148987 | 0.166932 | 0.103251 | 0.237233 | 0.133983 | 0.246672 | 0.169314 | 0.326685 | 0.157371 |
deepseekR1-graderPrompt-C1-full_context
|
2025-07-07 16:09:48
| 0.197863 | 0.140291 | 0.260192 | 0.119901 | 0.062116 | 0.007168 | 0.123852 | 0.116684 | 0.056172 | 0.011528 | 0.107451 | 0.095924 |
deepseekR1-graderPrompt-C2-essay_only
|
2025-07-06 20:27:15
| 0.027554 | -0.013327 | 0.077402 | 0.090729 | 0.040308 | 0.009259 | 0.077779 | 0.06852 | 0.049792 | 0.011341 | 0.098204 | 0.086863 |
deepseekR1-graderPrompt-C2-full_context
|
2025-07-07 16:17:08
| 0.509293 | 0.387464 | 0.628761 | 0.241297 | 0.352038 | 0.250045 | 0.466033 | 0.215989 | 0.403061 | 0.312929 | 0.497424 | 0.184495 |
deepseekR1-graderPrompt-C3-essay_only
|
2025-07-06 17:56:36
| 0.394328 | 0.231578 | 0.542244 | 0.310667 | 0.191494 | 0.126222 | 0.269015 | 0.142793 | 0.1849 | 0.115087 | 0.261116 | 0.146029 |
deepseekR1-graderPrompt-C3-full_context
|
2025-07-07 16:19:14
| 0.597372 | 0.494788 | 0.690635 | 0.195846 | 0.302907 | 0.211493 | 0.40702 | 0.195526 | 0.293414 | 0.215609 | 0.374622 | 0.159013 |
deepseekR1-graderPrompt-C4-essay_only
|
2025-07-06 20:05:43
| 0.469268 | 0.373094 | 0.559701 | 0.186607 | 0.193161 | 0.124205 | 0.279167 | 0.154962 | 0.244824 | 0.162085 | 0.328494 | 0.166408 |
deepseekR1-graderPrompt-C4-full_context
|
2025-07-07 17:20:31
| 0.545922 | 0.445069 | 0.635732 | 0.190664 | 0.285013 | 0.198738 | 0.41191 | 0.213172 | 0.457133 | 0.371398 | 0.542173 | 0.170774 |
deepseekR1-graderPrompt-C5-essay_only
|
2025-07-06 20:28:03
| 0.544601 | 0.401032 | 0.676342 | 0.27531 | 0.315089 | 0.244738 | 0.389671 | 0.144933 | 0.331148 | 0.24863 | 0.416993 | 0.168362 |
deepseekR1-graderPrompt-C5-full_context
|
2025-07-07 17:21:00
| 0.598254 | 0.463199 | 0.719351 | 0.256152 | 0.352051 | 0.281462 | 0.425115 | 0.143653 | 0.367529 | 0.283743 | 0.45508 | 0.171337 |
deepseekR1-studentPrompt-C1-essay_only
|
2025-07-03 09:22:09
| 0.352942 | 0.274941 | 0.434 | 0.15906 | 0.105429 | 0.05367 | 0.174068 | 0.120398 | 0.166191 | 0.096223 | 0.238932 | 0.142709 |
deepseekR1-studentPrompt-C1-full_context
|
2025-07-03 16:24:10
| 0.34962 | 0.271367 | 0.430037 | 0.158669 | 0.04023 | 0.01621 | 0.069621 | 0.05341 | 0.062805 | 0.017323 | 0.11489 | 0.097567 |
deepseekR1-studentPrompt-C2-essay_only
|
2025-07-03 14:02:04
| -0.015135 | -0.142015 | 0.111807 | 0.253822 | 0.150509 | 0.101576 | 0.204074 | 0.102498 | 0.249474 | 0.171988 | 0.330911 | 0.158923 |
deepseekR1-studentPrompt-C2-full_context
|
2025-07-03 17:00:47
| 0.412831 | 0.296246 | 0.534128 | 0.237882 | 0.289373 | 0.190045 | 0.40303 | 0.212985 | 0.346967 | 0.263441 | 0.436091 | 0.17265 |
deepseekR1-studentPrompt-C3-essay_only
|
2025-07-03 14:31:45
| 0.37844 | 0.225276 | 0.525133 | 0.299857 | 0.312066 | 0.225263 | 0.414725 | 0.189463 | 0.328925 | 0.246608 | 0.413702 | 0.167094 |
deepseekR1-studentPrompt-C3-full_context
|
2025-07-03 17:23:09
| 0.731369 | 0.65346 | 0.801847 | 0.148387 | 0.442468 | 0.328542 | 0.568559 | 0.240017 | 0.463881 | 0.377711 | 0.550819 | 0.173108 |
deepseekR1-studentPrompt-C4-essay_only
|
2025-07-03 14:57:27
| 0.512334 | 0.41037 | 0.605204 | 0.194834 | 0.259829 | 0.15293 | 0.396042 | 0.243112 | 0.391074 | 0.305302 | 0.47633 | 0.171027 |
deepseekR1-studentPrompt-C4-full_context
|
2025-07-03 17:53:15
| 0.487963 | 0.392807 | 0.575584 | 0.182777 | 0.212001 | 0.130873 | 0.321468 | 0.190595 | 0.365566 | 0.278011 | 0.451401 | 0.17339 |
deepseekR1-studentPrompt-C5-essay_only
|
2025-07-03 15:54:55
| 0.546427 | 0.405724 | 0.66979 | 0.264066 | 0.368031 | 0.303247 | 0.435409 | 0.132162 | 0.424998 | 0.344891 | 0.508003 | 0.163112 |
deepseekR1-studentPrompt-C5-full_context
|
2025-07-03 18:16:40
| 0.577327 | 0.44977 | 0.689443 | 0.239673 | 0.380118 | 0.292246 | 0.479712 | 0.187466 | 0.402973 | 0.320522 | 0.488827 | 0.168305 |
gpt4o-extractor-C1-essay_only
|
2025-07-12 16:48:41
| 0.55214 | 0.448592 | 0.648166 | 0.199574 | 0.24814 | 0.178791 | 0.332685 | 0.153893 | 0.507466 | 0.418109 | 0.596671 | 0.178562 |
gpt4o-extractor-C1-full_context
|
2025-07-08 18:14:05
| 0.532489 | 0.414581 | 0.638235 | 0.223654 | 0.240059 | 0.1834 | 0.314803 | 0.131403 | 0.536392 | 0.444065 | 0.628009 | 0.183944 |
gpt4o-extractor-C2-essay_only
|
2025-07-12 16:55:44
| 0.15167 | 0.059012 | 0.25104 | 0.192029 | 0.109823 | 0.069444 | 0.15 | 0.080556 | 0.132257 | 0.077902 | 0.194643 | 0.11674 |
gpt4o-extractor-C2-full_context
|
2025-07-08 18:28:50
| 0.468039 | 0.324865 | 0.599903 | 0.275038 | 0.351355 | 0.242995 | 0.469007 | 0.226012 | 0.406643 | 0.321863 | 0.491689 | 0.169825 |
gpt4o-extractor-C3-essay_only
|
2025-07-12 17:10:00
| 0.3896 | 0.259233 | 0.513636 | 0.254403 | 0.226147 | 0.159386 | 0.307048 | 0.147662 | 0.263029 | 0.185438 | 0.343249 | 0.157811 |
gpt4o-extractor-C3-full_context
|
2025-07-08 18:39:44
| 0.566602 | 0.460849 | 0.660963 | 0.200113 | 0.278159 | 0.189297 | 0.379797 | 0.1905 | 0.283096 | 0.204622 | 0.364732 | 0.16011 |
gpt4o-extractor-C4-essay_only
|
2025-07-12 18:32:10
| 0.555282 | 0.45804 | 0.642972 | 0.184932 | 0.324086 | 0.191975 | 0.472998 | 0.281023 | 0.477282 | 0.391841 | 0.560673 | 0.168832 |
gpt4o-extractor-C4-full_context
|
2025-07-08 19:48:00
| 0.498419 | 0.374655 | 0.61244 | 0.237785 | 0.273296 | 0.181892 | 0.393677 | 0.211785 | 0.449578 | 0.36449 | 0.533509 | 0.169019 |
gpt4o-extractor-C5-essay_only
|
2025-07-12 20:51:22
| 0.511676 | 0.394287 | 0.621172 | 0.226885 | 0.257995 | 0.194166 | 0.325312 | 0.131146 | 0.280697 | 0.197006 | 0.369131 | 0.172125 |
gpt4o-extractor-C5-full_context
|
2025-07-08 20:03:10
| 0.313465 | 0.204435 | 0.426137 | 0.221702 | 0.145355 | 0.088357 | 0.205098 | 0.116741 | 0.149547 | 0.085716 | 0.218217 | 0.132501 |
gpt4o-graderPrompt-C1-essay_only
|
2025-07-05 13:15:28
| 0.486818 | 0.403469 | 0.563902 | 0.160433 | 0.202346 | 0.153061 | 0.268481 | 0.11542 | 0.447993 | 0.362833 | 0.533338 | 0.170505 |
gpt4o-graderPrompt-C1-full_context
|
2025-07-04 20:43:40
| 0.551747 | 0.468579 | 0.628587 | 0.160008 | 0.241746 | 0.189019 | 0.307983 | 0.118964 | 0.517145 | 0.431006 | 0.601245 | 0.170239 |
gpt4o-graderPrompt-C2-essay_only
|
2025-07-05 14:24:26
| 0.2862 | 0.146462 | 0.421916 | 0.275453 | 0.191928 | 0.114135 | 0.285897 | 0.171761 | 0.193831 | 0.129605 | 0.266957 | 0.137352 |
gpt4o-graderPrompt-C2-full_context
|
2025-07-04 22:40:28
| 0.561229 | 0.430049 | 0.676145 | 0.246096 | 0.332516 | 0.237947 | 0.44247 | 0.204523 | 0.41479 | 0.33204 | 0.496612 | 0.164572 |
gpt4o-graderPrompt-C3-essay_only
|
2025-07-05 15:45:52
| 0.280682 | 0.149067 | 0.405839 | 0.256772 | 0.195299 | 0.143374 | 0.258866 | 0.115492 | 0.262933 | 0.189621 | 0.342814 | 0.153193 |
gpt4o-graderPrompt-C3-full_context
|
2025-07-04 13:48:12
| 0.446617 | 0.324366 | 0.559217 | 0.234851 | 0.277068 | 0.187599 | 0.390709 | 0.203109 | 0.318318 | 0.234631 | 0.4055 | 0.170869 |
gpt4o-graderPrompt-C4-essay_only
|
2025-07-06 11:04:30
| 0.506273 | 0.400191 | 0.604108 | 0.203917 | 0.263468 | 0.16357 | 0.390701 | 0.227131 | 0.38759 | 0.300173 | 0.473525 | 0.173352 |
gpt4o-graderPrompt-C4-full_context
|
2025-07-04 16:26:47
| 0.495843 | 0.388643 | 0.595636 | 0.206993 | 0.2514 | 0.187037 | 0.332987 | 0.145949 | 0.473328 | 0.386846 | 0.558852 | 0.172006 |
gpt4o-graderPrompt-C5-essay_only
|
2025-07-06 12:29:03
| 0.537318 | 0.405312 | 0.657019 | 0.251707 | 0.318118 | 0.249704 | 0.390217 | 0.140513 | 0.338711 | 0.258039 | 0.421964 | 0.163925 |
gpt4o-graderPrompt-C5-full_context
|
2025-07-04 18:40:54
| 0.476655 | 0.329458 | 0.607847 | 0.278389 | 0.241198 | 0.173018 | 0.310234 | 0.137216 | 0.256459 | 0.179857 | 0.334705 | 0.154847 |
gpt4o-studentPrompt-C1-essay_only
|
2025-07-02 20:39:39
| 0.506397 | 0.428054 | 0.58201 | 0.153956 | 0.210895 | 0.15086 | 0.291544 | 0.140683 | 0.42341 | 0.339496 | 0.508298 | 0.168802 |
gpt4o-studentPrompt-C1-full_context
|
2025-07-02 19:00:34
| 0.47683 | 0.390949 | 0.559451 | 0.168502 | 0.196242 | 0.14996 | 0.25463 | 0.10467 | 0.419723 | 0.335495 | 0.505734 | 0.170239 |
gpt4o-studentPrompt-C2-essay_only
|
2025-07-02 20:45:57
| 0.198056 | 0.046053 | 0.344268 | 0.298215 | 0.173529 | 0.122902 | 0.2273 | 0.104399 | 0.256167 | 0.179037 | 0.336531 | 0.157494 |
gpt4o-studentPrompt-C2-full_context
|
2025-07-02 19:10:24
| 0.508004 | 0.375653 | 0.630869 | 0.255216 | 0.36889 | 0.245936 | 0.499318 | 0.253382 | 0.411025 | 0.325555 | 0.498479 | 0.172924 |
gpt4o-studentPrompt-C3-essay_only
|
2025-07-02 20:55:50
| 0.380633 | 0.236651 | 0.513166 | 0.276515 | 0.252477 | 0.180517 | 0.339722 | 0.159205 | 0.28817 | 0.211961 | 0.367765 | 0.155803 |
gpt4o-studentPrompt-C3-full_context
|
2025-07-02 19:44:08
| 0.52835 | 0.420452 | 0.626877 | 0.206425 | 0.269259 | 0.190012 | 0.364445 | 0.174434 | 0.290777 | 0.216373 | 0.369539 | 0.153166 |
gpt4o-studentPrompt-C4-essay_only
|
2025-07-02 21:01:59
| 0.501785 | 0.397452 | 0.597475 | 0.200024 | 0.282983 | 0.172809 | 0.423468 | 0.250659 | 0.394036 | 0.3087 | 0.47933 | 0.17063 |
gpt4o-studentPrompt-C4-full_context
|
2025-07-02 20:02:02
| 0.487214 | 0.383258 | 0.581965 | 0.198707 | 0.249826 | 0.159072 | 0.369117 | 0.210045 | 0.368031 | 0.281662 | 0.453577 | 0.171915 |
gpt4o-studentPrompt-C5-essay_only
|
2025-07-02 21:08:07
| 0.545693 | 0.407985 | 0.669047 | 0.261062 | 0.288993 | 0.230132 | 0.34844 | 0.118308 | 0.298881 | 0.222811 | 0.377071 | 0.154261 |
gpt4o-studentPrompt-C5-full_context
|
2025-07-02 20:20:08
| 0.350409 | 0.203217 | 0.491803 | 0.288586 | 0.167195 | 0.105 | 0.23315 | 0.128151 | 0.184273 | 0.115149 | 0.258199 | 0.14305 |
sabia3-extractor-C1-essay_only
|
2025-07-12 17:27:53
| 0.291208 | 0.207885 | 0.37299 | 0.165104 | 0.092288 | 0.07173 | 0.116201 | 0.044471 | 0.247957 | 0.172272 | 0.330419 | 0.158147 |
sabia3-extractor-C1-full_context
|
2025-07-07 22:01:32
| 0.304755 | 0.217547 | 0.390067 | 0.17252 | 0.096384 | 0.076023 | 0.12067 | 0.044647 | 0.258937 | 0.182054 | 0.341615 | 0.159561 |
sabia3-extractor-C2-essay_only
|
2025-07-12 17:33:30
| 0.182462 | 0.082607 | 0.291159 | 0.208553 | 0.124873 | 0.079965 | 0.180029 | 0.100064 | 0.171587 | 0.104286 | 0.244765 | 0.140479 |
sabia3-extractor-C2-full_context
|
2025-07-07 22:14:45
| 0.280757 | 0.180466 | 0.382493 | 0.202027 | 0.157077 | 0.106251 | 0.22042 | 0.114169 | 0.214961 | 0.144549 | 0.292703 | 0.148154 |
sabia3-extractor-C3-essay_only
|
2025-07-12 17:49:57
| 0.096026 | -0.053441 | 0.237023 | 0.290463 | 0.112049 | 0.075472 | 0.164782 | 0.089311 | 0.175814 | 0.111422 | 0.251406 | 0.139984 |
sabia3-extractor-C3-full_context
|
2025-07-07 22:28:30
| 0.206973 | 0.093521 | 0.331213 | 0.237692 | 0.198838 | 0.137426 | 0.272304 | 0.134878 | 0.271849 | 0.190197 | 0.360781 | 0.170584 |
sabia3-extractor-C4-essay_only
|
2025-07-12 17:59:03
| 0.450934 | 0.356767 | 0.541609 | 0.184842 | 0.181373 | 0.132788 | 0.245081 | 0.112293 | 0.359594 | 0.269237 | 0.452876 | 0.183639 |
sabia3-extractor-C4-full_context
|
2025-07-07 22:40:08
| 0.37654 | 0.28479 | 0.465239 | 0.180449 | 0.181976 | 0.128224 | 0.247577 | 0.119354 | 0.38086 | 0.294061 | 0.465784 | 0.171723 |
sabia3-extractor-C5-essay_only
|
2025-07-12 18:13:40
| 0.517948 | 0.409153 | 0.619466 | 0.210313 | 0.209433 | 0.1562 | 0.264906 | 0.108706 | 0.213869 | 0.13953 | 0.293032 | 0.153502 |
sabia3-extractor-C5-full_context
|
2025-07-07 22:54:06
| 0.513153 | 0.393469 | 0.624437 | 0.230967 | 0.22241 | 0.162857 | 0.283898 | 0.121041 | 0.232108 | 0.154432 | 0.313746 | 0.159314 |
sabia3-graderPrompt-C1-essay_only
|
2025-07-03 23:08:46
| 0.528345 | 0.44564 | 0.605968 | 0.160328 | 0.225955 | 0.159316 | 0.315421 | 0.156105 | 0.416431 | 0.333256 | 0.498828 | 0.165572 |
sabia3-graderPrompt-C1-full_context
|
2025-07-03 22:19:05
| 0.491944 | 0.397628 | 0.583029 | 0.1854 | 0.241562 | 0.171422 | 0.334763 | 0.163341 | 0.499965 | 0.406676 | 0.593495 | 0.186819 |
sabia3-graderPrompt-C2-essay_only
|
2025-07-03 23:19:55
| 0.062134 | 0.002887 | 0.125043 | 0.122157 | 0.091099 | 0.050793 | 0.139806 | 0.089012 | 0.113061 | 0.060145 | 0.175615 | 0.11547 |
sabia3-graderPrompt-C2-full_context
|
2025-07-03 22:31:08
| 0.490769 | 0.351343 | 0.619418 | 0.268075 | 0.353172 | 0.239638 | 0.48288 | 0.243243 | 0.413558 | 0.332019 | 0.497849 | 0.16583 |
sabia3-graderPrompt-C3-essay_only
|
2025-07-03 23:34:59
| 0.342793 | 0.207332 | 0.479556 | 0.272224 | 0.268702 | 0.198773 | 0.35443 | 0.155657 | 0.324683 | 0.246363 | 0.407526 | 0.161163 |
sabia3-graderPrompt-C3-full_context
|
2025-07-03 22:40:30
| 0.536806 | 0.418769 | 0.647112 | 0.228343 | 0.350784 | 0.229309 | 0.477053 | 0.247744 | 0.366273 | 0.285793 | 0.450174 | 0.164381 |
sabia3-graderPrompt-C4-essay_only
|
2025-07-03 23:42:25
| 0.549092 | 0.442165 | 0.647635 | 0.205469 | 0.226596 | 0.144854 | 0.337186 | 0.192332 | 0.435547 | 0.345292 | 0.527585 | 0.182294 |
sabia3-graderPrompt-C4-full_context
|
2025-07-03 22:49:50
| 0.520675 | 0.392764 | 0.63655 | 0.243786 | 0.302656 | 0.196487 | 0.453034 | 0.256547 | 0.493925 | 0.405939 | 0.577895 | 0.171956 |
sabia3-graderPrompt-C5-essay_only
|
2025-07-03 23:01:37
| 0.586556 | 0.46683 | 0.695064 | 0.228234 | 0.329751 | 0.255119 | 0.409897 | 0.154778 | 0.373507 | 0.289471 | 0.459248 | 0.169777 |
sabia3-graderPrompt-C5-full_context
|
2025-07-03 23:25:56
| 0.495216 | 0.343867 | 0.629809 | 0.285943 | 0.280272 | 0.20425 | 0.36498 | 0.160729 | 0.313828 | 0.235886 | 0.395116 | 0.15923 |
sabia3-studentPrompt-C1-essay_only
|
2025-07-02 16:22:36
| 0.682147 | 0.608886 | 0.751245 | 0.142359 | 0.342301 | 0.256527 | 0.454288 | 0.197761 | 0.661092 | 0.57606 | 0.743429 | 0.167368 |
sabia3-studentPrompt-C1-full_context
|
2025-07-02 16:52:00
| 0.569401 | 0.467414 | 0.661294 | 0.19388 | 0.352943 | 0.259278 | 0.495014 | 0.235736 | 0.602494 | 0.514942 | 0.689404 | 0.174462 |
sabia3-studentPrompt-C2-essay_only
|
2025-07-02 16:31:52
| 0.017495 | -0.027916 | 0.061057 | 0.088973 | 0.08113 | 0.047361 | 0.120398 | 0.073036 | 0.108266 | 0.057109 | 0.168806 | 0.111697 |
sabia3-studentPrompt-C2-full_context
|
2025-07-02 17:35:43
| 0.457102 | 0.306763 | 0.599163 | 0.2924 | 0.30045 | 0.202901 | 0.414613 | 0.211712 | 0.405199 | 0.320274 | 0.491296 | 0.171022 |
sabia3-studentPrompt-C3-essay_only
|
2025-07-02 16:36:17
| 0.297733 | 0.157077 | 0.432848 | 0.275771 | 0.231119 | 0.163338 | 0.314154 | 0.150816 | 0.296969 | 0.219874 | 0.380344 | 0.160469 |
sabia3-studentPrompt-C3-full_context
|
2025-07-02 17:43:28
| 0.444717 | 0.321332 | 0.560666 | 0.239334 | 0.216985 | 0.119933 | 0.331203 | 0.21127 | 0.221206 | 0.152801 | 0.297826 | 0.145025 |
sabia3-studentPrompt-C4-essay_only
|
2025-07-02 16:40:55
| 0.513149 | 0.393273 | 0.620001 | 0.226728 | 0.297009 | 0.192674 | 0.431201 | 0.238527 | 0.52544 | 0.43472 | 0.616301 | 0.181581 |
sabia3-studentPrompt-C4-full_context
|
2025-07-02 18:38:18
| 0.378248 | 0.228395 | 0.522666 | 0.294271 | 0.260389 | 0.153998 | 0.416174 | 0.262176 | 0.430667 | 0.337674 | 0.526845 | 0.189171 |
sabia3-studentPrompt-C5-essay_only
|
2025-07-02 16:45:09
| 0.508153 | 0.371864 | 0.634879 | 0.263015 | 0.295867 | 0.231361 | 0.363003 | 0.131642 | 0.342712 | 0.261568 | 0.426253 | 0.164685 |
sabia3-studentPrompt-C5-full_context
|
2025-07-02 18:45:35
| 0.531842 | 0.398501 | 0.650086 | 0.251585 | 0.266948 | 0.191805 | 0.34588 | 0.154075 | 0.281492 | 0.202269 | 0.361378 | 0.159109 |
bertimbau-base-C1-essay-only
|
2025-07-10 00:30:49
| 0.595817 | 0.505021 | 0.683753 | 0.178732 | 0.403426 | 0.29995 | 0.536631 | 0.236681 | 0.519488 | 0.433162 | 0.604936 | 0.171774 |
bertimbau-base-C2-essay-only
|
2025-07-10 00:33:24
| 0.344581 | 0.192373 | 0.486874 | 0.294501 | 0.262824 | 0.183705 | 0.361564 | 0.177858 | 0.348546 | 0.269448 | 0.429412 | 0.159964 |
bertimbau-base-C3-essay-only
|
2025-07-10 00:36:03
| 0.346933 | 0.19906 | 0.485247 | 0.286186 | 0.231182 | 0.16413 | 0.314344 | 0.150214 | 0.267866 | 0.194021 | 0.34536 | 0.151339 |
bertimbau-base-C4-essay-only
|
2025-07-10 00:38:42
| 0.54353 | 0.418459 | 0.655103 | 0.236644 | 0.364211 | 0.254026 | 0.523088 | 0.269062 | 0.551477 | 0.465078 | 0.635873 | 0.170795 |
bertimbau-base-C5-essay-only
|
2025-07-10 00:41:22
| 0.625724 | 0.509004 | 0.726598 | 0.217594 | 0.304069 | 0.244058 | 0.380961 | 0.136903 | 0.359026 | 0.27462 | 0.448098 | 0.173478 |
bertugues-base-C1-essay-only
|
2025-07-10 00:57:41
| 0.611824 | 0.515556 | 0.702611 | 0.187055 | 0.41828 | 0.316585 | 0.55268 | 0.236095 | 0.562701 | 0.479198 | 0.64382 | 0.164623 |
bertugues-base-C2-essay-only
|
2025-07-10 01:00:19
| 0.331229 | 0.189326 | 0.463457 | 0.27413 | 0.145332 | 0.097168 | 0.200973 | 0.103805 | 0.177288 | 0.115544 | 0.24642 | 0.130876 |
bertugues-base-C3-essay-only
|
2025-07-10 01:02:55
| 0.285621 | 0.121738 | 0.441574 | 0.319836 | 0.259462 | 0.193951 | 0.33962 | 0.145669 | 0.348192 | 0.266887 | 0.433309 | 0.166422 |
bertugues-base-C4-essay-only
|
2025-07-10 01:05:32
| 0.537129 | 0.42138 | 0.637865 | 0.216485 | 0.330898 | 0.228278 | 0.477904 | 0.249626 | 0.506746 | 0.421907 | 0.589635 | 0.167728 |
bertugues-base-C5-essay-only
|
2025-07-10 01:08:11
| 0.35607 | 0.222957 | 0.48624 | 0.263283 | 0.234775 | 0.165799 | 0.310327 | 0.144527 | 0.269546 | 0.193231 | 0.34948 | 0.156249 |
Subsets and Splits
SQL Console for kamel-usp/jbcs2025_experiments_report
The query compares key metrics (qwk, macro_f1, Weighted_F1) across multiple categories (C1 to C5) for specific models (tucano, phi, llama) across two different configurations (r8 and r16), providing insights into their performance differences.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query compares the QWK confidence intervals across multiple configurations (C1 to C5) for experiments involving BERT, providing a detailed view of variability and consistency in model performance.
SQL Console for kamel-usp/jbcs2025_experiments_report
This query provides a detailed comparison of weighted F1 confidence intervals across different conditions (C1 to C5) for experiments involving BERT models, allowing for an insightful analysis of performance variations.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query aggregates Macro F1 confidence intervals for different conditions (C1-C5) of experiments involving BERT models, allowing for a comparative analysis of performance across various configurations.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query aggregates and compares confidence intervals of Weighted F1 scores across different configurations (C1 to C5) for specific experiments, revealing potential variations and trends in model performance.
SQL Console for kamel-usp/jbcs2025_experiments_report
This query aggregates and compares confidence intervals for different experiment conditions across multiple categories, revealing potential differences in performance metrics that could be crucial for further analysis.
SQL Console for kamel-usp/jbcs2025_experiments_report
Compares performance metrics (QWK, Macro F1, Weighted F1) across different configurations (C1-C5) for specific experiments, providing insights into variations in model performance under different conditions.
SQL Console for kamel-usp/jbcs2025_experiments_report
This query compares the confidence intervals of Macro F1 scores across five different configurations (C1 to C5) for specific experiments, providing a detailed view of performance variations.
SQL Console for kamel-usp/jbcs2025_experiments_report
Compares performance metrics (qwk, macro_f1, weighted_f1) across different configurations (C1-C5) for experiments involving specific models, providing insights into their relative strengths and weaknesses under full context conditions.
SQL Console for kamel-usp/jbcs2025_experiments_report
Compares confidence intervals for Weighted F1 scores across different configurations (C1-C5) of specific experiments, revealing potential performance variations and consistency across different settings.
SQL Console for kamel-usp/jbcs2025_experiments_report
This query compares the confidence intervals of Macro F1 scores across five different configurations (C1 to C5) for specific experiments involving essay-only datasets, providing a detailed comparison of model performance variations.
SQL Console for kamel-usp/jbcs2025_experiments_report
This query provides a comprehensive comparison of Macro F1 confidence intervals across multiple conditions for specific experiments, allowing for detailed analysis of performance variations.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query provides a detailed comparison of confidence intervals for different conditions (C1 to C5) across specific experiment IDs, revealing potential variations and relationships among these conditions.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query compares the QWK confidence intervals across different conditions (C1 to C5) for specific experiment IDs, revealing potential variations in model performance under different configurations.
SQL Console for kamel-usp/jbcs2025_experiments_report
Compares different metrics (QWK, Macro F1, Weighted F1) across five configurations (C1-C5) for specific experiments, revealing detailed performance differences and potential areas for improvement.
QWK Comparison Across Experiments
The query aggregates and compares QWK scores across multiple configurations for specific experiments, revealing detailed performance differences that can guide model tuning and comparison.
C2 QWK for R8 Models
The query retrieves the QWK scores for experiments with specific IDs containing 'C2', providing basic filtering but limited analytical insight.
SQL Console for kamel-usp/jbcs2025_experiments_report
The query provides a basic comparison of mean QWK values from bootstrap confidence intervals with actual QWK values from evaluation results for a limited number of experiments.