{"id":"W2940654227","doi":"10.1097/01.ju.0000555164.06369.85","title":"MP10-20 INPATIENT WORKLOAD HAS INCREASED BY UP TO 300% OVER THE LAST DECADE: ANALYSIS OF A UROLOGY RESIDENCY TRAINING PROGRAM FROM 2007-2017","year":2019,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Workload; Health care; Urology; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.002117329,0.0003482676,0.0004561137,0.00309419,0.001194669,0.001620135,0.001588686,0.000660585,0.004638886],"category_scores_gemma":[0.01001025,0.0004607289,0.001388991,0.008526878,0.000516577,0.001280308,0.00250221,0.001758582,0.001227034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009778454,"about_ca_system_score_gemma":0.02785579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5690268,"about_ca_topic_score_gemma":0.7274137,"domain_scores_codex":[0.9954998,0.0004035917,0.0004290968,0.000301262,0.002202865,0.00116335],"domain_scores_gemma":[0.9837853,0.001084748,0.00512501,0.000295546,0.00560383,0.004105668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001174254,0.000100325,0.9348383,0.0003309895,0.0002134717,0.00008795771,0.0007219809,0.0002306287,0.00008603249,0.0001248897,0.03993386,0.02321402],"study_design_scores_gemma":[0.000006747706,0.00002922604,0.9948922,0.0001605546,0.00003006559,0.00005167204,0.001187564,0.0001089086,0.00004093587,0.0000128908,0.003468347,0.00001081449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936095,0.00478564,0.0004872824,0.01280483,0.0003404733,0.0002153827,0.07621758,0.0001622209,0.01137713],"genre_scores_gemma":[0.9298304,0.006919391,0.0007091279,0.00359139,0.0004111569,0.0003745043,0.05277929,0.0001356031,0.005249156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5690268,"threshold_uncertainty_score":0.8670226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349571622433507,"score_gpt":0.4056624769127805,"score_spread":0.3521667606884454,"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."}}