{"id":"W3094416229","doi":"10.1503/cmaj.200457-f","title":"Projection de la demande de lits de soins intensifs durant l’épidémie de COVID-19 au Canada","year":2020,"lang":"fr","type":"article","venue":"Canadian Medical Association Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Humanities; Medicine; Virology; Art","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":[0.0002920175,0.0005717619,0.000353568,0.0007005058,0.0006418509,0.001315315,0.0008002899,0.0005360883,0.005153884],"category_scores_gemma":[0.001257227,0.0003892797,0.0009798594,0.001241538,0.0004134256,0.000491908,0.0006702406,0.0008578047,0.0003700245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01814435,"about_ca_system_score_gemma":0.02064332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836805,"about_ca_topic_score_gemma":0.9726897,"domain_scores_codex":[0.9997092,0.0000417812,0.000008590733,0.00004686909,0.00006695426,0.0001266296],"domain_scores_gemma":[0.9993357,0.00009674223,0.00005422174,0.00001938487,0.0003695848,0.0001244518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004713751,0.00009915712,0.2862792,0.0002533745,0.0003338584,0.0003051583,0.0004173317,0.6740104,0.002394306,0.00593434,0.01480591,0.01469548],"study_design_scores_gemma":[0.0001163373,0.0001223278,0.2720636,0.0001359176,0.000144966,0.00007930909,0.002722102,0.7048963,0.001464322,0.001687449,0.01644875,0.0001187148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315969,0.0005740438,0.007836397,0.00266212,0.00007283693,0.0001054054,0.0455515,0.0003334471,0.01126728],"genre_scores_gemma":[0.9738563,0.0006426463,0.005009409,0.0001508591,0.00001153493,0.00006009603,0.01282685,0.00003922206,0.007403134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814435,"threshold_uncertainty_score":0.1316471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08669763922666104,"score_gpt":0.364003721135667,"score_spread":0.277306081909006,"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."}}