{"id":"W4380785993","doi":"10.1136/bmjgh-2022-011656","title":"Faster, higher, stronger – together? A bibliometric analysis of author distribution in top medical education journals","year":2023,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Innovations in Medical Education","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Distribution (mathematics); Bibliometrics; Political science; Regional science; Library science; Sociology; Computer science; Mathematics","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0118919,0.000572995,0.001759508,0.1125357,0.001578619,0.008261989,0.000898634,0.0006915955,0.005511124],"category_scores_gemma":[0.1019114,0.0003105566,0.001774202,0.1798088,0.00115622,0.005271208,0.002606266,0.00056849,0.001477311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596518,"about_ca_system_score_gemma":0.002548719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133392,"about_ca_topic_score_gemma":0.003309249,"domain_scores_codex":[0.9796335,0.004768131,0.004775763,0.001663344,0.008247113,0.0009122325],"domain_scores_gemma":[0.8518099,0.0920938,0.03244804,0.004835111,0.01668541,0.00212761],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004443102,0.0001078544,0.8820046,0.005115052,0.002046448,0.000434931,0.004006468,0.001054694,0.001100436,0.003209161,0.007554976,0.0929211],"study_design_scores_gemma":[0.00006208174,0.0001909983,0.9509035,0.001367133,0.001113696,0.00133907,0.009031819,0.003919587,0.0009649898,0.005587791,0.0254171,0.0001022297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928116,0.01891214,0.002825131,0.00270313,0.0002122315,0.000400123,0.02774594,0.0002779857,0.01880736],"genre_scores_gemma":[0.9799259,0.006308545,0.003772726,0.0001250702,0.0002891743,0.0002620465,0.008085888,0.00006429962,0.001166388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9881081,"threshold_uncertainty_score":0.06289113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963107322541686,"score_gpt":0.512540289200959,"score_spread":0.4529092159755421,"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."}}