{"id":"W4403962387","doi":"10.3389/fneur.2024.1383713","title":"Gender and race in neurotrauma: part 1-identifying inequalities in leadership, academics, and clinical trial management","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Workforce; Neurosurgery; Diversity (politics); Intersectionality; Race (biology); Perspective (graphical); Political science; Psychology; Medicine; Public relations; Criminology; Gender studies; Sociology; Psychiatry; Law","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":[0.03106368,0.0001921692,0.000547611,0.00232838,0.002804441,0.004290144,0.0007431574,0.0008924833,0.00780388],"category_scores_gemma":[0.1005181,0.0002054303,0.0005474616,0.003459981,0.002622296,0.003938096,0.003779652,0.001558147,0.0004502226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047399,"about_ca_system_score_gemma":0.008682932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005388384,"about_ca_topic_score_gemma":0.01401534,"domain_scores_codex":[0.9819965,0.0114806,0.001516509,0.0007186214,0.002666975,0.001620751],"domain_scores_gemma":[0.9403447,0.03613133,0.01279062,0.001816096,0.003836854,0.005080392],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003645882,0.0002185863,0.5099838,0.001851259,0.0002293073,0.000359552,0.0575732,0.00022044,0.000541073,0.05142749,0.03547478,0.3417559],"study_design_scores_gemma":[0.00005185152,0.0006520144,0.6739285,0.01229917,0.0002735706,0.001769178,0.1003963,0.00076929,0.0007087265,0.05987817,0.1491475,0.0001257089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5276163,0.1065157,0.009999738,0.2875796,0.005542125,0.0002945557,0.001068695,0.00005184484,0.06133143],"genre_scores_gemma":[0.9598947,0.01946451,0.00301874,0.01209503,0.00207912,0.0002692738,0.0001884136,0.0000397457,0.002950364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9689363,"threshold_uncertainty_score":0.1642824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3048401161381951,"score_gpt":0.3951299613760856,"score_spread":0.09028984523789052,"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."}}