{"id":"W3083358640","doi":"10.24095/hpcdp.40.11/12.04f","title":"Réaction rapide face à la COVID-19 : relever les défis et améliorer la préparation mentale du personnel de sécurité publique","year":2020,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta; Canadian Institute for Public Safety Research and Treatment; Veterans Affairs Canada; University of Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Humanities; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Medicine; Philosophy; Virology","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":[0.002187183,0.0003412366,0.00033911,0.0004096522,0.001802695,0.001487578,0.0005176088,0.0009627852,0.01069518],"category_scores_gemma":[0.008996191,0.0001950762,0.0003280512,0.0003199717,0.0008744956,0.0004456949,0.001161825,0.001653168,0.000920033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003337779,"about_ca_system_score_gemma":0.005522955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08639961,"about_ca_topic_score_gemma":0.1433864,"domain_scores_codex":[0.9986941,0.000472921,0.00005500572,0.0001000305,0.000338673,0.0003392306],"domain_scores_gemma":[0.9968278,0.0008237643,0.0008471184,0.0001316063,0.00074044,0.0006292332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002552073,0.001928223,0.5873372,0.001525864,0.0003043742,0.002445939,0.06722687,0.000373238,0.01982713,0.004030081,0.03057848,0.2818705],"study_design_scores_gemma":[0.00006708663,0.001434096,0.9203035,0.0005837997,0.00007732434,0.0005097263,0.04672069,0.0002757854,0.001697752,0.001072523,0.0271927,0.00006507942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584009,0.002501316,0.001241093,0.009931076,0.0007195577,0.0003995024,0.0003388761,0.00006555989,0.02640207],"genre_scores_gemma":[0.9759861,0.003204933,0.001114003,0.002999797,0.0002019892,0.0001737566,0.0002045985,0.00002361064,0.01609137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136004,"threshold_uncertainty_score":0.1717934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667936117044013,"score_gpt":0.3695738849236946,"score_spread":0.3328945237532545,"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."}}