{"id":"W4206988836","doi":"10.1111/acem.14441","title":"Author gender diversity within emergency medicine publications","year":2022,"lang":"en","type":"letter","venue":"Academic Emergency Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Emergency department; Medicine; Emergency medicine; Gerontology","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005107956,0.0007612224,0.001586235,0.002010224,0.02276337,0.0101644,0.002582767,0.08078214,0.0177585],"category_scores_gemma":[0.04726617,0.001332817,0.001159459,0.002206008,0.003876773,0.00523716,0.003025425,0.05154788,0.009384492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009901961,"about_ca_system_score_gemma":0.01572725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03008469,"about_ca_topic_score_gemma":0.07246028,"domain_scores_codex":[0.9932279,0.001244445,0.0007388376,0.0009904313,0.001855318,0.001943008],"domain_scores_gemma":[0.9648617,0.01760679,0.00174259,0.0009375972,0.007639211,0.007212183],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004148401,0.00003296765,0.002291335,0.00005263842,0.00001713659,0.003541308,0.0008487155,0.00004783764,0.0001620308,0.003551387,0.9834548,0.005958501],"study_design_scores_gemma":[0.0001607974,0.0001004827,0.007768104,0.001200785,0.00008821041,0.005237335,0.01091445,0.0007448879,0.0006163023,0.01635385,0.9566553,0.0001595075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001190646,0.0004077804,0.00005587662,0.9731452,0.01487734,0.00001728976,0.00004923726,0.00001675789,0.01023992],"genre_scores_gemma":[0.01163894,0.0005837839,0.0001326769,0.9320541,0.02913703,0.00007131266,0.00003110186,0.00004672274,0.02630429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9979898,"threshold_uncertainty_score":0.07184404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2015023455298447,"score_gpt":0.393777649738246,"score_spread":0.1922753042084014,"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."}}