{"id":"W4311444135","doi":"10.14745/ccdr.v48i1112a05f","title":"Aperçu du Réseau de la résistance aux antimicrobiens (RésRAM) du Canada : une approche Une seule santé axée sur les données pour la surveillance de la résistance aux antimicrobiens","year":2022,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Molecular biology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0495091,0.0009428737,0.001762551,0.005948708,0.002975794,0.005525865,0.003410284,0.001558604,0.005182583],"category_scores_gemma":[0.08037262,0.0006507809,0.002251911,0.007925196,0.00155089,0.001368507,0.001866472,0.002739437,0.00100081],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04140282,"about_ca_system_score_gemma":0.1554988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9583157,"about_ca_topic_score_gemma":0.9728968,"domain_scores_codex":[0.9592645,0.01220358,0.004194468,0.002222396,0.02021747,0.00189762],"domain_scores_gemma":[0.8313801,0.02100835,0.008268011,0.004130512,0.1306709,0.004542121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009658228,0.0003187345,0.3012852,0.01138075,0.001723553,0.0002843743,0.005642391,0.00194463,0.003203611,0.006498736,0.1478426,0.5189095],"study_design_scores_gemma":[0.0002463826,0.0005313029,0.3629115,0.01314424,0.002211679,0.0002605481,0.003704336,0.002594192,0.005475364,0.001871785,0.6067778,0.0002708161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1760689,0.1964579,0.05799755,0.206886,0.00428074,0.01009864,0.1624574,0.002494333,0.1832585],"genre_scores_gemma":[0.6153025,0.1010226,0.1464625,0.04521895,0.001203621,0.004072963,0.03835991,0.0004428185,0.04791418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585972,"threshold_uncertainty_score":0.3003998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007552104393522488,"score_gpt":0.2071270205470819,"score_spread":0.1995749161535594,"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."}}