{"id":"W2089785775","doi":"10.1503/cmaj.060561","title":"Capacite, vieillissement de la population et professionnalisme","year":2006,"lang":"fr","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Medicine; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004303605,0.0002311978,0.0004032251,0.001269085,0.001711747,0.002843937,0.0007782602,0.001589892,0.01728486],"category_scores_gemma":[0.02564826,0.0002548868,0.0004206723,0.0009959296,0.001673521,0.001705738,0.001665571,0.001205501,0.001914828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380539,"about_ca_system_score_gemma":0.006100247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338543,"about_ca_topic_score_gemma":0.03403831,"domain_scores_codex":[0.9967564,0.001365324,0.0001207585,0.0002259416,0.0009606443,0.0005709592],"domain_scores_gemma":[0.9852033,0.006120986,0.002209429,0.0006689743,0.002451577,0.003345789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003150719,0.001098941,0.7439993,0.0004345888,0.0001701547,0.0005122023,0.01362331,0.0009083599,0.002013842,0.01582794,0.009869994,0.2112263],"study_design_scores_gemma":[0.00003151703,0.000517331,0.9359704,0.0004634103,0.00005294039,0.001106452,0.01155348,0.001145647,0.0005457681,0.009375613,0.03915023,0.00008727879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860281,0.005575976,0.004383635,0.03449295,0.0003091161,0.0001066569,0.0008140328,0.00009688239,0.06819261],"genre_scores_gemma":[0.9868141,0.001987302,0.0009640349,0.00110202,0.0001821689,0.0000714183,0.0001226388,0.00002555487,0.008730689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02338543,"threshold_uncertainty_score":0.05782366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269925663664528,"score_gpt":0.3664950067081622,"score_spread":0.3537957500715169,"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."}}