{"id":"W2137005156","doi":"10.1186/1472-6920-14-205","title":"Assessment of faculty productivity in academic departments of medicine in the United States: a national survey","year":2014,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Salary; Productivity; Excellence; Medical education; Medicine; Compensation (psychology); Family medicine; Descriptive statistics; United States Medical Licensing Examination; Psychology; Medical school; Political science; Statistics; Mathematics; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004898412,0.000202009,0.0003385168,0.002286419,0.0004259431,0.000653862,0.0006417175,0.0004763492,0.001636063],"category_scores_gemma":[0.01136495,0.0002675683,0.0003013073,0.003143569,0.0003934006,0.0008436763,0.001091468,0.0005409757,0.0004285783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476384,"about_ca_system_score_gemma":0.001696734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010608,"about_ca_topic_score_gemma":0.01157483,"domain_scores_codex":[0.9967308,0.001032511,0.000780682,0.0003143549,0.0008163145,0.0003254379],"domain_scores_gemma":[0.9848078,0.002659908,0.00675818,0.0004847611,0.002691388,0.002597994],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001353252,0.00003727534,0.9968086,0.00002252236,0.00001435119,0.00001519988,0.0002114145,0.00002720978,0.00006130046,0.000007417247,0.00059862,0.002182511],"study_design_scores_gemma":[0.000002973349,0.00005075496,0.9985448,0.00001737565,0.000004796247,0.00004662865,0.0007189994,0.00009237724,0.00003737838,0.00000670479,0.0004745226,0.000002821276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957659,0.0005044097,0.0001877524,0.0005083386,0.00001247831,0.00004638042,0.001915942,0.00001935062,0.001039534],"genre_scores_gemma":[0.997681,0.0003432445,0.0003850612,0.0002582117,0.00001818116,0.00005918487,0.001079769,0.000003838928,0.0001714594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951016,"threshold_uncertainty_score":0.02590561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3345062759346631,"score_gpt":0.5829940757980547,"score_spread":0.2484877998633916,"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."}}