{"id":"W7104915183","doi":"10.71781/32452","title":"Améliorer la surveillance passive des infections associées aux soins de santé au Canada","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiological surveillance; Health surveillance; Ile de france; Disease prevention; Medical screening","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":[0.02612296,0.000622304,0.001005599,0.004889327,0.003425311,0.005664851,0.002500776,0.0008053152,0.003587081],"category_scores_gemma":[0.09199431,0.0005122972,0.001284583,0.00986788,0.001454001,0.002079449,0.002412935,0.001533622,0.0004105643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04440753,"about_ca_system_score_gemma":0.1881893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9738535,"about_ca_topic_score_gemma":0.9763057,"domain_scores_codex":[0.9729043,0.006949909,0.003077279,0.002050117,0.0127942,0.002224207],"domain_scores_gemma":[0.8723898,0.02524515,0.009204162,0.004002802,0.08564688,0.003511192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005762179,0.0001732173,0.5864946,0.009127,0.001195264,0.0002660342,0.02396869,0.001454333,0.00150334,0.006801927,0.04687683,0.3215626],"study_design_scores_gemma":[0.0001201703,0.0002999069,0.7353253,0.01054056,0.001540131,0.0002188052,0.01966761,0.002158844,0.003782117,0.001521303,0.2245565,0.0002686965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6564487,0.0708188,0.02130495,0.05783995,0.001542128,0.003433748,0.09379552,0.0007365149,0.09407961],"genre_scores_gemma":[0.8964095,0.03305617,0.02937188,0.009403267,0.0003033966,0.001700159,0.01772697,0.000172737,0.011856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04440753,"threshold_uncertainty_score":0.3222007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006103663527229419,"score_gpt":0.2173485690009541,"score_spread":0.2112449054737247,"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."}}