{"id":"W2889881605","doi":"10.14745/ccdr.v44i01a07f","title":"Énoncé canadien définissant la multi-résistance et l’ultra-résistance chez les souches d’entérobactéries, d’Acinetobacter spp. et de Pseudomonas aeruginosa pour les laboratoires médicaux","year":2018,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Association of Medical Microbiology and Infectious Disease Canada; McGill University","keywords":"Acinetobacter; Pseudomonas aeruginosa; Biology; Microbiology; Antibiotics; Bacteria; Genetics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002713882,0.0004418014,0.000627345,0.001951004,0.0007838327,0.001915617,0.0003995609,0.000830324,0.004943996],"category_scores_gemma":[0.01021324,0.0001691985,0.0007919869,0.003240057,0.0009517768,0.0009492162,0.0005529622,0.00185867,0.0002937778],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143534,"about_ca_system_score_gemma":0.0137529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.779409,"about_ca_topic_score_gemma":0.7954477,"domain_scores_codex":[0.997903,0.0004671288,0.0001569538,0.0002071502,0.0008687364,0.0003970826],"domain_scores_gemma":[0.996445,0.0009514515,0.0007193977,0.0002253061,0.001371575,0.0002872947],"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":[0.001056453,0.0002579891,0.8066323,0.0008347949,0.0005913044,0.0005751004,0.004021246,0.001550801,0.002699059,0.01586558,0.01117059,0.1547448],"study_design_scores_gemma":[0.00007161418,0.000228762,0.9365494,0.0008950885,0.0003613717,0.0009843988,0.00246485,0.001161394,0.002176807,0.003788392,0.05123053,0.00008753408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8370501,0.06840069,0.007243814,0.02479302,0.000811883,0.0002873571,0.0153918,0.00009380864,0.04592753],"genre_scores_gemma":[0.9685671,0.01255798,0.00332032,0.001803845,0.0001655681,0.000101068,0.002664321,0.00002532815,0.01079444],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9885647,"threshold_uncertainty_score":0.4437802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09490995973971944,"score_gpt":0.3357003451077091,"score_spread":0.2407903853679896,"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."}}