{"id":"W27433753","doi":"10.1097/aln.0000000000001176","title":"Les conséquences de l'application des mesures d'urgence lors de la tempête de verglas sur la santé biopsychosociale des intervenants du Saguenay-Lac-Saint-Jean et de l'Estrie","year":2001,"lang":"fr","type":"article","venue":"Anesthesiology","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002792553,0.0002360404,0.0003082755,0.00056027,0.00343188,0.001359877,0.0004692292,0.001110974,0.006312187],"category_scores_gemma":[0.01343518,0.000231769,0.0003314249,0.0004367934,0.002098837,0.0006031081,0.002345241,0.001319113,0.000501768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578946,"about_ca_system_score_gemma":0.002588979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845523,"about_ca_topic_score_gemma":0.04218477,"domain_scores_codex":[0.9979825,0.001082381,0.00007389102,0.00009818075,0.0003386853,0.0004242761],"domain_scores_gemma":[0.9935058,0.002173272,0.001050718,0.0003327413,0.001340416,0.001596957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002722876,0.002117908,0.3473709,0.001317374,0.0002740743,0.01120697,0.2760711,0.002013059,0.01763334,0.01218617,0.01580628,0.31128],"study_design_scores_gemma":[0.00006525953,0.00234697,0.781275,0.0005830239,0.00007208117,0.001387954,0.1583492,0.0004028674,0.001869221,0.00351515,0.05003651,0.00009668255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832207,0.001221833,0.0008773007,0.006472954,0.0002263227,0.00006529547,0.00009057402,0.00004087501,0.007784052],"genre_scores_gemma":[0.9942549,0.0008365397,0.0003726683,0.0006688833,0.00005872109,0.00005355261,0.00002867755,0.00001039066,0.003715795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9815448,"threshold_uncertainty_score":0.03669566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213903185378681,"score_gpt":0.4347921670144606,"score_spread":0.3926531351606738,"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."}}