{"id":"W2912505881","doi":"10.1503/cmaj.181417","title":"Addressing inappropriate antibiotic prescribing in China","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotics; Antibiotic resistance; Medicine; Intensive care medicine; China; Drug resistance; Resistance (ecology); Biology; Microbiology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001729047,0.0002831986,0.0003783067,0.001717026,0.001179136,0.0009992579,0.0007074855,0.0008025025,0.003822388],"category_scores_gemma":[0.00541447,0.0001608738,0.0003577365,0.002189715,0.000604552,0.000631451,0.001296672,0.0009321065,0.0001967412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005083183,"about_ca_system_score_gemma":0.03089727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1564619,"about_ca_topic_score_gemma":0.1926739,"domain_scores_codex":[0.9984987,0.0003995335,0.0002111988,0.0001239281,0.0004139186,0.0003528229],"domain_scores_gemma":[0.9953317,0.0004917121,0.001201783,0.0001194856,0.001035304,0.001819962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001053451,0.000253787,0.8018457,0.001394751,0.0001601505,0.001836318,0.002395902,0.0007031413,0.001213904,0.002894588,0.03581776,0.1513786],"study_design_scores_gemma":[0.00007192544,0.0002320887,0.9372191,0.00131624,0.0001444303,0.000852611,0.004475908,0.00360338,0.0004941329,0.002194353,0.04932912,0.00006664105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.790908,0.0233345,0.001926762,0.1528904,0.0008914628,0.0004145573,0.001769499,0.0001552901,0.02770952],"genre_scores_gemma":[0.9692347,0.009818208,0.001726033,0.01376091,0.0004775203,0.0001495995,0.0005268762,0.00002663517,0.004279383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564619,"threshold_uncertainty_score":0.3111023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016556796875127,"score_gpt":0.2281582725849386,"score_spread":0.2179927046161873,"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."}}