{"id":"W4377939032","doi":"10.1001/jamasurg.2023.1667","title":"Gender Disparities in Medical Industry Payments","year":2023,"lang":"en","type":"letter","venue":"JAMA Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Otorhinolaryngology; Family medicine; Neurology; Psychiatry","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":[0.001041861,0.00007469422,0.000148964,0.000960714,0.0009652555,0.001093039,0.0002179958,0.001151641,0.03088215],"category_scores_gemma":[0.01068246,0.000071892,0.0002392175,0.001646978,0.0004294296,0.001190902,0.0006851243,0.001176638,0.001774664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860238,"about_ca_system_score_gemma":0.001710123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137499,"about_ca_topic_score_gemma":0.0255028,"domain_scores_codex":[0.9985765,0.0003849023,0.0000827122,0.0001015727,0.0002828106,0.0005714266],"domain_scores_gemma":[0.996247,0.001677242,0.0007695649,0.00009984515,0.0003914699,0.0008149151],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003227138,0.0002101565,0.5046939,0.0000959699,0.00005888427,0.001334454,0.003070597,0.0002109099,0.0001655899,0.07397059,0.3311577,0.08470859],"study_design_scores_gemma":[0.00009925303,0.0001320567,0.7861467,0.0007789541,0.00004046265,0.003422894,0.009460306,0.001013381,0.0002311982,0.04225311,0.1563814,0.00004022579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3397371,0.004680463,0.0001892412,0.4775386,0.001180626,0.00002115093,0.002617645,0.00002181291,0.1740133],"genre_scores_gemma":[0.9632868,0.001781143,0.0000651427,0.02522507,0.0006249957,0.00002328225,0.0002637366,0.0000141727,0.00871558],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9989581,"threshold_uncertainty_score":0.1033111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09453594576864781,"score_gpt":0.3194168318105933,"score_spread":0.2248808860419454,"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."}}