{"id":"W4378905575","doi":"10.14745/ccdr.v49i05a01f","title":"Association de la surveillance épidémiologique basée sur les eaux usées et de la modélisation du SRAS-CoV-2/COVID-19 : applications pratiques à l'Agence de santé publique du Canada","year":2023,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Public Health Agency of Canada; Public Health Ontario; Statistics Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Humanities; Art; Disease","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":[0.009746441,0.00140833,0.001602499,0.001378885,0.001111656,0.00293485,0.002082945,0.001061372,0.003596542],"category_scores_gemma":[0.0220858,0.0005922991,0.002592048,0.00148432,0.000891176,0.000884866,0.001524529,0.002346108,0.0004096508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008867197,"about_ca_system_score_gemma":0.03270474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9135045,"about_ca_topic_score_gemma":0.8209673,"domain_scores_codex":[0.9971199,0.00149367,0.000133667,0.0005306335,0.0003352504,0.0003869096],"domain_scores_gemma":[0.9885551,0.0073345,0.0006353486,0.0004736091,0.002371828,0.0006296069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001401774,0.0002506499,0.5579294,0.0004736308,0.002779696,0.0002089016,0.0004390614,0.3755817,0.0007064085,0.005224513,0.006520724,0.04848367],"study_design_scores_gemma":[0.0001757084,0.000167107,0.07940333,0.0001491553,0.0004464742,0.00005108842,0.0003363686,0.9130082,0.0002924358,0.002436829,0.003482611,0.00005063958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761278,0.00687874,0.0910343,0.006708151,0.0004588795,0.0004750988,0.01175337,0.001170987,0.005392567],"genre_scores_gemma":[0.965754,0.001862318,0.02168637,0.0003463851,0.00008339606,0.0002225856,0.004991003,0.00009627147,0.004957587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08649546,"threshold_uncertainty_score":0.1740096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017297046828409,"score_gpt":0.2854045214850157,"score_spread":0.2552315510167316,"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."}}