{"id":"W2075988989","doi":"10.3917/riges.293.0010","title":"Préparer la relève : enjeux et stratégies","year":2004,"lang":"fr","type":"article","venue":"Gestion","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02487353,0.00190327,0.001387108,0.002911195,0.01353468,0.02632369,0.00472672,0.02280786,0.0403941],"category_scores_gemma":[0.03328204,0.000852485,0.001601329,0.002117893,0.01180265,0.02082844,0.02393035,0.02189438,0.007909678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00970938,"about_ca_system_score_gemma":0.0414245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185973,"about_ca_topic_score_gemma":0.01386077,"domain_scores_codex":[0.9827865,0.008711274,0.0008430877,0.001307304,0.002599978,0.003751832],"domain_scores_gemma":[0.9654039,0.01052646,0.001910603,0.001325746,0.004661519,0.01617177],"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":[0.0001503639,0.001505111,0.005906253,0.002888925,0.0001226688,0.001495122,0.03427954,0.0007201061,0.001582091,0.2028432,0.3884391,0.3600675],"study_design_scores_gemma":[0.00005272459,0.0001698122,0.004220967,0.002833975,0.00003955451,0.0008381765,0.06922726,0.0003708745,0.0004623679,0.05321883,0.8684738,0.00009161439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009187771,0.01985225,0.006737817,0.8983274,0.01324038,0.0001871064,0.00005234841,0.0003181055,0.05209689],"genre_scores_gemma":[0.3095722,0.05908624,0.02999187,0.2976052,0.01947343,0.0009608574,0.0003490711,0.0007986038,0.2821625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0403941,"threshold_uncertainty_score":0.1351317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06922773861321314,"score_gpt":0.4195016618399154,"score_spread":0.3502739232267023,"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."}}