{"id":"W2949722123","doi":"","title":"Antibiotic prescribing for pediatric respiratory infections: What explains a large variation among physicians?","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Medical prescription; Odds ratio; Respiratory tract infections; Cohort; Pediatrics; Psychological intervention; Odds; Family medicine; Population; Emergency medicine; Internal medicine; Respiratory system; Environmental health; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004007439,0.0003977134,0.0007072301,0.001229886,0.0005170857,0.0009947082,0.001084546,0.0009593213,0.0017368],"category_scores_gemma":[0.0171817,0.0005016953,0.001131416,0.002553222,0.0007673249,0.0007184445,0.000731064,0.0006166356,0.0002509457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071464,"about_ca_system_score_gemma":0.001312208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0436228,"about_ca_topic_score_gemma":0.05474496,"domain_scores_codex":[0.9952884,0.001422594,0.0004500614,0.001358358,0.0009391099,0.0005415526],"domain_scores_gemma":[0.9793241,0.007785341,0.009669891,0.001420007,0.0008397662,0.0009610073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004383496,0.00001824866,0.9973915,0.00002479767,0.0001784257,0.00004964329,0.0001942137,0.00009115225,0.00008075711,0.00003148666,0.00008837029,0.001807613],"study_design_scores_gemma":[0.000003535567,0.00002615492,0.9989948,0.00002158078,0.00003434886,0.00008488227,0.0001975257,0.0004612846,0.000022751,0.0000417109,0.0001079262,0.000003591419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995176,0.002474333,0.000915013,0.0006421111,0.00002220469,0.00001785711,0.0003852879,0.00001495932,0.0003522795],"genre_scores_gemma":[0.9989834,0.0003435261,0.0003118432,0.00006164509,0.00002585154,0.000007690904,0.0002041587,0.000005061594,0.00005674729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0436228,"threshold_uncertainty_score":0.08673775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365721711059922,"score_gpt":0.2102546686155389,"score_spread":0.1965974515049397,"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."}}