{"id":"W3091496294","doi":"10.1016/j.jemep.2020.100598","title":"Intégration de l’IA en santé au Québec : enjeux légaux","year":2020,"lang":"fr","type":"article","venue":"Ethics Medicine and Public Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.008889087,0.0009749421,0.0007804196,0.002582606,0.006034286,0.01168498,0.001512332,0.003699622,0.02083798],"category_scores_gemma":[0.01358818,0.0006558079,0.001175427,0.004033851,0.004521979,0.003539435,0.00298273,0.00908995,0.001589712],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1393521,"about_ca_system_score_gemma":0.2151394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843168,"about_ca_topic_score_gemma":0.9831455,"domain_scores_codex":[0.9921835,0.002446976,0.0003296049,0.000533156,0.00242837,0.002078338],"domain_scores_gemma":[0.9848792,0.002263186,0.0005210799,0.0006464922,0.007341853,0.004348232],"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":[0.0003074908,0.0006140499,0.02663689,0.001235923,0.0004000223,0.001514865,0.01125983,0.005480551,0.001937755,0.3208739,0.3200397,0.3096991],"study_design_scores_gemma":[0.00006476876,0.00006354612,0.0546422,0.001764233,0.00006650679,0.0002638615,0.005908327,0.001556928,0.0004679011,0.005377875,0.9297494,0.00007447227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04540714,0.1027904,0.008573256,0.5846258,0.00853406,0.0003550402,0.002117742,0.0004281239,0.2471683],"genre_scores_gemma":[0.5453588,0.06548583,0.01560717,0.05174436,0.002757861,0.0004967153,0.001623297,0.000306927,0.316619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1393521,"threshold_uncertainty_score":0.9982296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4399206098856807,"score_gpt":0.5292179882618284,"score_spread":0.08929737837614776,"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."}}