{"id":"W3008984202","doi":"10.1016/j.euf.2020.02.003","title":"Setting the Standards: Examining Research Productivity Among Academic Urologists in the USA and Canada in 2019","year":2020,"lang":"en","type":"article","venue":"European Urology Focus","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Accreditation; Productivity; Graduate medical education; Logistic regression; Family medicine; Descriptive statistics; Index (typography); Medical education; Demography; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009926155,0.0002892913,0.0004763651,0.003918794,0.004461123,0.005472009,0.003615313,0.001163929,0.001150069],"category_scores_gemma":[0.05049576,0.0004296164,0.0006535769,0.01058353,0.002172656,0.002043012,0.003707753,0.002168071,0.0001865869],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08632039,"about_ca_system_score_gemma":0.2181007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836594,"about_ca_topic_score_gemma":0.9892945,"domain_scores_codex":[0.984727,0.001923382,0.001147154,0.0007650648,0.006979663,0.004457733],"domain_scores_gemma":[0.9253775,0.006413252,0.01456278,0.001262836,0.03121353,0.02117005],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009671549,0.000118471,0.9695535,0.0001228724,0.0001025929,0.00006151611,0.004844324,0.0003082501,0.00008783284,0.001202431,0.007808797,0.01569273],"study_design_scores_gemma":[0.000009175624,0.00003821507,0.9821172,0.0001354274,0.00002225934,0.00003241051,0.01365014,0.0003389039,0.00006538998,0.0001897052,0.003379015,0.00002212622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525809,0.002486997,0.0003592918,0.02873807,0.0001556396,0.0001352117,0.004980779,0.00004168241,0.01052133],"genre_scores_gemma":[0.9949645,0.00098137,0.000533611,0.00162213,0.00003479919,0.00003895764,0.001029286,0.00001079753,0.0007845683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900739,"threshold_uncertainty_score":0.6263012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1946683883447048,"score_gpt":0.4229464075306912,"score_spread":0.2282780191859865,"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."}}