{"id":"W4317851322","doi":"10.1136/jnis-2022-019921","title":"Gender disparities in industry compensation and research payments among neurointerventional surgeons in the USA","year":2023,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Payment; Medicaid; Neuroradiology; Reimbursement; Demography; Significant difference; Interventional radiology; Family medicine; Surgery; Neurology; Health care; Finance; Internal medicine","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":[0.0009426285,0.0001004404,0.0001320337,0.001221203,0.0003738414,0.0004999354,0.0001820789,0.0002229238,0.003463921],"category_scores_gemma":[0.003955159,0.00007203309,0.000154507,0.001117481,0.0002909956,0.0004274126,0.0004957325,0.0002518047,0.0002875523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004468522,"about_ca_system_score_gemma":0.0007237518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007167724,"about_ca_topic_score_gemma":0.01704485,"domain_scores_codex":[0.9992208,0.0001771846,0.00008726077,0.00010286,0.0002220914,0.0001897762],"domain_scores_gemma":[0.9966809,0.0005717834,0.001894334,0.00007059575,0.0002940607,0.0004882372],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003420303,0.00002495195,0.9932309,0.00001076483,0.00001350678,0.00005600954,0.0003475322,0.00002071993,0.00008610036,0.0001997273,0.0006350768,0.005340475],"study_design_scores_gemma":[0.000002350274,0.00003095923,0.9972925,0.00002565695,0.000006231032,0.0002580646,0.0009864422,0.00009133619,0.00003815387,0.0001615112,0.001104058,0.000002772352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957334,0.0005731213,0.00008746306,0.00103673,0.00001990209,0.000004679063,0.0004183631,0.000002569035,0.002123737],"genre_scores_gemma":[0.9991659,0.0002615485,0.00005386292,0.0001523489,0.00002526407,0.000003968783,0.0001542914,0.000001461293,0.000181296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990574,"threshold_uncertainty_score":0.01425201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.243412931376299,"score_gpt":0.4006037494184441,"score_spread":0.1571908180421452,"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."}}