{"id":"W4405709739","doi":"10.1109/iceccme62383.2024.10796175","title":"FairDETOCS: An approach to detect and connect unfair models","year":2024,"lang":"en","type":"article","venue":"","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0300438,0.002332561,0.002574219,0.008460063,0.003698376,0.005739009,0.004778178,0.00369594,0.005396947],"category_scores_gemma":[0.1244342,0.001025232,0.002004062,0.003790098,0.00491476,0.009123465,0.01232148,0.005504814,0.0008202013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003747344,"about_ca_system_score_gemma":0.006319714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008789172,"about_ca_topic_score_gemma":0.01179063,"domain_scores_codex":[0.9847463,0.007161326,0.000856059,0.002896515,0.003363877,0.0009759899],"domain_scores_gemma":[0.9355558,0.03773674,0.007007941,0.01113515,0.006675488,0.00188891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001217048,0.0009824227,0.06013207,0.0004209173,0.0006172368,0.000606833,0.002946457,0.2233768,0.002131988,0.2724427,0.01535797,0.4197675],"study_design_scores_gemma":[0.00006843173,0.0001594432,0.001783409,0.0001107312,0.00006723248,0.0001370486,0.0004616438,0.6900458,0.002131422,0.2984108,0.006562173,0.00006177347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0205969,0.0002573602,0.9729135,0.0009340644,0.0001356972,0.0003865495,0.0003748238,0.001664581,0.002736456],"genre_scores_gemma":[0.4921859,0.0002253363,0.5018519,0.0007269803,0.0002159208,0.0006433791,0.001129725,0.0004404294,0.002580558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0300438,"threshold_uncertainty_score":0.1588887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517603814590538,"score_gpt":0.2028207520692007,"score_spread":0.1876447139232953,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}