{"id":"W2969915583","doi":"10.7202/1062083ar","title":"Travail collectif pluridisciplinaire dans la prévention des risques professionnels complexes : ressources et contraintes du contexte au Québec et en France","year":2019,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0128198,0.0005913675,0.0009589901,0.002410576,0.01079903,0.006754296,0.002605967,0.001496353,0.008087979],"category_scores_gemma":[0.02099536,0.000500172,0.0008259247,0.003967268,0.003807034,0.002183417,0.004238605,0.002297533,0.0005348058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05732184,"about_ca_system_score_gemma":0.1117368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9522243,"about_ca_topic_score_gemma":0.9693261,"domain_scores_codex":[0.9867427,0.005412062,0.0006772737,0.001346062,0.003705702,0.002116152],"domain_scores_gemma":[0.9685786,0.006365334,0.003742463,0.0009517546,0.01482288,0.005538994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002994077,0.0003837584,0.6555986,0.001578909,0.0004117245,0.001349555,0.1166325,0.001233775,0.0008045587,0.02885646,0.0189545,0.1738963],"study_design_scores_gemma":[0.00004320854,0.0002022222,0.8178939,0.003369079,0.0002463302,0.00050592,0.0926636,0.001570835,0.000441366,0.002694179,0.08022819,0.0001411717],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8535952,0.02521533,0.007962031,0.04696103,0.0005150154,0.000624555,0.001896888,0.0001264637,0.0631036],"genre_scores_gemma":[0.9753276,0.005895542,0.003958457,0.002628063,0.00009043999,0.0003701719,0.0004949782,0.0000395674,0.01119524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05732184,"threshold_uncertainty_score":0.4159011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963628470888407,"score_gpt":0.3500659729854658,"score_spread":0.3204296882765817,"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."}}