{"id":"W4398781355","doi":"10.1017/cjn.2024.216","title":"P.113 Mind the gap: illuminating gender disparities in neurosurgical inclusion and diversity","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Feeling; Inclusion (mineral); Diversity (politics); Neurosurgery; Medicine; Family medicine; Psychology; Psychiatry; Political science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003925006,0.0003403364,0.000309325,0.0009370779,0.003464344,0.003253515,0.0008373763,0.001421622,0.009658651],"category_scores_gemma":[0.01075398,0.0002143089,0.0004397384,0.001598196,0.005143628,0.005817913,0.003584287,0.003268928,0.0009783654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413722,"about_ca_system_score_gemma":0.004658133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351295,"about_ca_topic_score_gemma":0.009702701,"domain_scores_codex":[0.998206,0.00114915,0.00004475143,0.0001187386,0.0002998185,0.000181527],"domain_scores_gemma":[0.9950107,0.003341557,0.000610125,0.0001172447,0.0004895265,0.0004307874],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001914452,0.0002226423,0.06928606,0.002515143,0.00006088681,0.001747532,0.2380128,0.0001195459,0.000658663,0.05248376,0.2864473,0.3482542],"study_design_scores_gemma":[0.00004059335,0.0004247127,0.08970812,0.006122975,0.0000569963,0.003355977,0.5347654,0.0002746182,0.0005548106,0.05129704,0.3133537,0.00004515728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2123474,0.04403061,0.008060519,0.6248177,0.01127419,0.0003006828,0.0007954072,0.00009440224,0.0982791],"genre_scores_gemma":[0.8593631,0.03787595,0.005514311,0.07644691,0.004775705,0.0006326343,0.0002366441,0.00008984874,0.01506483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996075,"threshold_uncertainty_score":0.03231144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06363769920917806,"score_gpt":0.2930657933022956,"score_spread":0.2294280940931175,"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."}}