{"id":"W2912958870","doi":"10.1161/str.50.suppl_1.tmp75","title":"Abstract TMP75: Gender Disparities in International Stroke Conference Leadership","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; University of Toronto","funders":"","keywords":"Medicine; Attendance; Demographics; Test (biology); Gender disparity; Family medicine; Neurology; Gender gap; Gerontology; Medical education; Demography; Psychiatry; Law; Political science","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":[0.002151618,0.0001608139,0.0001828036,0.0009836045,0.0009622203,0.0009816305,0.0005638709,0.0003166774,0.01804529],"category_scores_gemma":[0.007800499,0.00008833416,0.0002847989,0.001226394,0.0004022037,0.0009208088,0.001012957,0.0005772821,0.001320443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007259751,"about_ca_system_score_gemma":0.001190654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006341878,"about_ca_topic_score_gemma":0.008784958,"domain_scores_codex":[0.9983864,0.00035668,0.0001466076,0.0002453243,0.0004219786,0.0004429904],"domain_scores_gemma":[0.9950243,0.00112794,0.002129343,0.0001301085,0.0005182125,0.001069974],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002312836,0.0001234061,0.9568077,0.0001771866,0.00004757329,0.0001625622,0.002868396,0.00004742181,0.0001631712,0.0007020484,0.01190084,0.02676845],"study_design_scores_gemma":[0.000009321933,0.0001174297,0.9883373,0.0001945273,0.00002007456,0.0002453964,0.005366948,0.00008810747,0.0001381171,0.0003866923,0.005087961,0.000008112765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802438,0.001913682,0.000394067,0.002767801,0.0001998625,0.00005181037,0.002414569,0.00001742025,0.01199712],"genre_scores_gemma":[0.9969488,0.000435323,0.00009557125,0.0004471718,0.000115783,0.00006694422,0.0005122324,0.000009919766,0.001368357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978484,"threshold_uncertainty_score":0.06036747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234759280558622,"score_gpt":0.2638854802122512,"score_spread":0.140409552156389,"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."}}