modeling_zhaocui/math/Q2/results/ablation_validation.csv

1	model	n	accuracy	macro_f1	negative_support	neutral_support	positive_support	negative_recall	middle_recall	positive_recall	regression_mae	regression_rmse	pearson	brier	classification_nll	ece_15	interval_90_coverage	interval_90_mean_width	selection_nll	temperature	description	predictive_variance_mean_uncalibrated	within_trajectory_variance_mean	between_trajectory_variance_mean	predictive_mean_mean_calibrated	predictive_variance_mean_calibrated	validation_selection_loss	rho_imp	lambda_u	lambda_gap	lambda_span	lambda_group	group_temperature
2	C0	728	0.592032967032967	0.5559346126510305	206	184	338	0.5825242718446602	0.34782608695652173	0.7307692307692307	0.7334139347076416	0.9371736594281902	0.5192425847053528	0.5145634913739343	0.8668775768593128	0.03562808104126608	0.9093406593406593	3.1437528133392334	0.9035571651175792	2.032287887301264	observed mean/std + masks + maximum gap; logistic/ridge
3	C1	728	0.6071428571428571	0.55124288334091	206	184	338	0.6796116504854369	0.23369565217391305	0.7662721893491125	0.6779899001121521	0.9222378420815579	0.5779994130134583	0.4974337085664247	0.8442830443382263	0.05466654393207895	0.8956043956043956	2.463564872741699	2.7879433631896973	1.1214790595552069	masked BiGRU; no posterior imputation, explicit reliability or source gate	0.5905959010124207	0.5905959010124207	0.0	0.18120460212230682	0.6191508769989014	2.7879433631896973	0.5	0.05	0.05	0.05	nan	nan
4	C2	728	0.5975274725274725	0.47637082507472805	206	184	338	0.6116504854368932	0.04891304347826087	0.8875739644970414	0.7159271240234375	0.9473113058814692	0.579660177230835	0.5006998592970549	0.8497811555862427	0.07025201639140045	0.8983516483516484	2.5833804607391357	2.7831006050109863	1.2159886200859098	exact Gaussian posterior mean; no joint trajectory integral	0.6255680322647095	0.6255680322647095	0.0	0.26571935415267944	0.6729797124862671	2.7831006050109863	0.5	0.05	0.05	0.05	nan	nan
5	C3	728	0.6085164835164835	0.4974009120786063	206	184	338	0.6553398058252428	0.07608695652173914	0.8698224852071006	0.7170785665512085	0.9519565799792883	0.5966356992721558	0.4963717223322455	0.8414766192436218	0.03515750726500711	0.9065934065934066	2.5035855770111084	2.771331548690796	1.2137760834757865	joint trajectory integral plus final reliability/content fusion gate	0.5990039110183716	0.5990003943443298	3.476098072496825e-06	0.21980196237564087	0.6516103148460388	2.77126407623291	0.3	0.05	0.05	0.05	nan	nan
6	C4	728	0.6085164835164835	0.555058605423057	206	184	338	0.6504854368932039	0.25	0.7781065088757396	0.6918120384216309	0.9515582480750588	0.5684906244277954	0.5075791281376366	0.8570581078529358	0.05379025265574453	0.8983516483516484	2.538222312927246	2.8107874393463135	1.0471160328013351	C3 plus bounded cross-time source attention and null source	0.6382710933685303	0.6382405161857605	3.0667371902382e-05	0.2080966681241989	0.6502240300178528	2.81081223487854	0.7	0.05	0.05	0.05	nan	nan
7	C5	728	0.6153846153846154	0.5445555339287688	206	184	338	0.6990291262135923	0.19021739130434784	0.7958579881656804	0.6623618006706238	0.8933437077491609	0.6174448132514954	0.4918066281209682	0.8373782634735107	0.06113330221601894	0.8928571428571429	2.381938934326172	2.7620162963867188	1.212728800581531	C4 plus reliability-modulated BiGRU update	0.5485545992851257	0.5485460758209229	8.503861863573547e-06	0.13911069929599762	0.5960606336593628	2.7618556022644043	0.3	0.05	0.05	0.05	nan	nan
8	C6	728	0.6263736263736264	0.5801114274083624	206	184	338	0.6941747572815534	0.29891304347826086	0.7633136094674556	0.6457235217094421	0.8814069986838935	0.6157047748565674	0.4856194350316264	0.8258335590362549	0.031823099805758544	0.885989010989011	2.30387282371521	2.774562358856201	1.1780751742536886	C5 plus optional rank-4 CP residual	0.49419134855270386	0.4941462278366089	4.511491351877339e-05	0.13551649451255798	0.5317712426185608	2.774617910385132	0.3	0.05	0.05	0.05	nan	nan
9	C6_no_distance	728	0.6043956043956044	0.5144916075030433	206	184	338	0.6553398058252428	0.13043478260869565	0.8313609467455622	0.6794722676277161	0.9098390018130259	0.6045995950698853	0.5041281436421426	0.8588091731071472	0.04508186811274226	0.885989010989011	2.2977938652038574	2.808736562728882	1.36875500088095	C6 with uncertainty retained but both distance/span reliability penalties fixed to zero	0.4714658260345459	0.47136420011520386	0.00010164274135604501	0.14785172045230865	0.5429188013076782	2.8084704875946045	0.5	0.0	0.0	0.0	nan	nan
10	C6_no_reconstruction	728	0.6002747252747253	0.5178357887707189	206	184	338	0.6650485436893204	0.14130434782608695	0.8106508875739645	0.6957471370697021	0.9327064671148756	0.5887437462806702	0.5024915749758389	0.8508719205856323	0.04982036520000343	0.8928571428571429	2.390105724334717	2.794447422027588	1.180521560150874	C6 trained without the auxiliary hidden-feature reconstruction loss	0.5634137392044067	0.5633965134620667	1.724438880046364e-05	0.1889886111021042	0.6063413023948669	2.794414520263672	0.3	0.05	0.05	0.05	nan	nan
11	C6_pointmask	728	0.603021978021978	0.5513375927177999	206	184	338	0.587378640776699	0.2717391304347826	0.7928994082840237	0.6945403218269348	0.9553973516704227	0.5646858811378479	0.49644123517098043	0.8433728814125061	0.04921124482547844	0.8997252747252747	2.4906656742095947	2.7908360958099365	1.3967463290480098	C6 trained with independent point masking instead of contiguous spans	0.5435255169868469	0.543519139289856	6.390413091139635e-06	0.234638050198555	0.6392570734024048	2.790741205215454	0.3	0.05	0.05	0.05	nan	nan
12	C7_distill	728	0.5906593406593407	0.5243846543289639	206	184	338	0.6601941747572816	0.18478260869565216	0.7692307692307693	0.6742856502532959	0.8981318409977092	0.6013374924659729	0.5035731740308492	0.8561364412307739	0.045249516246738015	0.8667582417582418	2.3018338680267334	2.8153398036956787	1.1711189639334147	C6 plus entropy/retention-weighted teacher distillation only	0.5134512186050415	0.513433575630188	1.761062230798416e-05	0.16756068170070648	0.5485631823539734	2.8153774738311768	0.3	0.05	0.05	0.05	nan	nan
13	C7_group	728	0.6085164835164835	0.5116842947005743	206	184	338	0.6747572815533981	0.11413043478260869	0.8372781065088757	0.6860273480415344	0.9252878475802377	0.5911917090415955	0.5028568696567639	0.8551272749900818	0.0504213785650311	0.8928571428571429	2.445509672164917	2.7835769653320312	1.044649831831679	C6 plus smooth worst-group risk only	0.6084297895431519	0.6084184646606445	1.1323560102027841e-05	0.12680216133594513	0.6198152303695679	2.783574342727661	0.3	0.05	0.05	0.05	0.1	0.05