{"id":"W4281382353","doi":"","title":"L'équité de l'apprentissage machine en assurance","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Society, Economy, and Ethics Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Political science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04290549,0.0007815798,0.001118153,0.004002707,0.003678899,0.01731941,0.001906881,0.00543492,0.009388434],"category_scores_gemma":[0.1247892,0.0006637166,0.0009537949,0.003566979,0.02911277,0.02235882,0.008266171,0.005481062,0.001243196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01093295,"about_ca_system_score_gemma":0.00525326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006563752,"about_ca_topic_score_gemma":0.002689024,"domain_scores_codex":[0.9309663,0.03841097,0.002764993,0.007069495,0.01885873,0.001929607],"domain_scores_gemma":[0.8613532,0.09117938,0.01118057,0.01703276,0.01709143,0.002162792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007933994,0.00002157221,0.002382614,0.0001707861,0.00003114835,0.0001183712,0.005352697,0.001034286,0.0003028098,0.9601198,0.001380691,0.02900596],"study_design_scores_gemma":[0.00002792766,0.0001551322,0.005168314,0.0007751443,0.00006640235,0.0009533633,0.004258993,0.005574594,0.001651516,0.8837202,0.09756909,0.00007925892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1221346,0.01716292,0.3993215,0.1190153,0.001260806,0.0002125507,0.0003988246,0.0002750196,0.3402184],"genre_scores_gemma":[0.9020218,0.004549176,0.06015313,0.004012893,0.0008010846,0.0003448174,0.000108217,0.0001881691,0.02782064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04290549,"threshold_uncertainty_score":0.2269087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905633819174224,"score_gpt":0.3056085258700972,"score_spread":0.2765521876783549,"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."}}