{"id":"W4225498430","doi":"10.4000/statsoc.550","title":"L’équité de l’apprentissage machine en assurance","year":2022,"lang":"fr","type":"article","venue":"Statistique et société","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Psychology; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0102472,0.0003808791,0.0007027719,0.00006847054,0.002350515,0.00002279884,0.0004863732,0.0007911368,0.03431096],"category_scores_gemma":[0.00219508,0.0004402151,0.0002033181,0.0004368586,0.0002312851,0.0001893499,0.0004630233,0.008947135,0.0002860115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547869,"about_ca_system_score_gemma":0.004802304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317583,"about_ca_topic_score_gemma":0.002210293,"domain_scores_codex":[0.9808142,0.01527495,0.0009883939,0.000612058,0.0007604933,0.001549962],"domain_scores_gemma":[0.9898103,0.00846201,0.0004631486,0.0005580258,0.0001284591,0.0005780199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005617598,0.0003197115,0.005225879,0.002094094,0.0001140841,0.0002313471,0.1960515,0.00008721183,0.00005012466,0.07295993,0.6536098,0.0692002],"study_design_scores_gemma":[0.002083611,0.0003465278,0.02790947,0.0003228283,0.00009866625,0.0000318555,0.09990667,0.001554234,0.000006784847,0.01236031,0.854941,0.0004380539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1176183,0.05353145,0.1287456,0.4924676,0.02476032,0.00583961,0.02074439,0.0007504407,0.1555424],"genre_scores_gemma":[0.7146261,0.01050088,0.02853135,0.0659321,0.002430688,0.001179324,0.0009234659,0.0002392676,0.1756369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5970078,"threshold_uncertainty_score":0.999805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363627819393679,"score_gpt":0.4442962151282594,"score_spread":0.4106599369343226,"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."}}