{"id":"W2773180679","doi":"10.3174/ajnr.a5443","title":"Influences for Gender Disparity in Academic Neuroradiology","year":2017,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver General Hospital","funders":"","keywords":"Neuroradiology; Gender disparity; Medicine; Scopus; Odds; Odds ratio; MEDLINE; Medical education; Family medicine; Demography; Neurology; Logistic regression; Psychiatry; Internal medicine; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.002291064,0.0001262184,0.0001658235,0.001978251,0.002009698,0.001210555,0.0003747724,0.0003193756,0.007244928],"category_scores_gemma":[0.0131338,0.00007059712,0.0001965093,0.001691005,0.001210784,0.0005759973,0.001244587,0.0004541973,0.0002525599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459184,"about_ca_system_score_gemma":0.002674828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518923,"about_ca_topic_score_gemma":0.02413978,"domain_scores_codex":[0.9973102,0.0009241545,0.0001212698,0.0002393376,0.0008278804,0.0005772464],"domain_scores_gemma":[0.9914442,0.002584374,0.00268382,0.0002109209,0.0008407679,0.002235926],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005105668,0.00005741125,0.9767092,0.00003458693,0.00002568758,0.0001850699,0.00423218,0.0000507566,0.000192271,0.002043857,0.00135885,0.01505896],"study_design_scores_gemma":[0.000003685938,0.00004060117,0.9844766,0.00009123572,0.000009143077,0.0003491127,0.01058059,0.0001223979,0.0000990258,0.001282862,0.002936754,0.000007924153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853175,0.0009611858,0.0003127333,0.00267929,0.00006132999,0.00001631011,0.0001815289,0.000005365393,0.01046479],"genre_scores_gemma":[0.9995209,0.0001006145,0.00004406209,0.0000808419,0.00002047927,0.000002763465,0.00001856578,0.000001926867,0.0002098277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977089,"threshold_uncertainty_score":0.03020161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09944577625434375,"score_gpt":0.4032507899838626,"score_spread":0.3038050137295188,"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."}}