{"id":"W3208770099","doi":"10.1016/j.ijrobp.2021.07.1026","title":"Assessment of Differences in Academic Rank and Salary by Gender and Race Among United States Academic Radiation Oncologists","year":2021,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Salary; Medicine; Logistic regression; Ethnic group; Demography; Race (biology); Cohort; Underrepresented Minority; American Community Survey; Family medicine; Workforce; Census; Medical education; Internal medicine; Environmental health; 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":[0.00086121,0.0001420858,0.0001673737,0.001313553,0.0006933487,0.0005758223,0.0003982116,0.0004057155,0.003216073],"category_scores_gemma":[0.003566199,0.0001796492,0.0002508821,0.00128845,0.0003141344,0.0004799284,0.0007018981,0.0004482043,0.0006259185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880783,"about_ca_system_score_gemma":0.0008003833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675997,"about_ca_topic_score_gemma":0.03293256,"domain_scores_codex":[0.9992774,0.0001663748,0.00006185346,0.00009015362,0.0001527207,0.0002515757],"domain_scores_gemma":[0.9970611,0.0004634522,0.001011704,0.00009630778,0.000494391,0.0008730445],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004864137,0.00006174036,0.9983087,0.000002240317,0.00001128864,0.00001425699,0.0001591173,0.00001221066,0.00004741858,0.00001618705,0.0002014741,0.00111681],"study_design_scores_gemma":[0.000002178416,0.0000447575,0.9987404,0.000002250401,0.00000310044,0.00002421993,0.0009505053,0.00004969573,0.00001978956,0.0000123973,0.0001492446,0.000001407721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989427,0.00005503285,0.00001622889,0.0001016536,0.000006795581,0.000002795339,0.0002187059,0.000001379702,0.0006547043],"genre_scores_gemma":[0.9994443,0.0000283446,0.00001884239,0.00004178176,0.000006166279,0.000003170044,0.0001904529,0.000001025268,0.0002658211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991388,"threshold_uncertainty_score":0.03332484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874140342455207,"score_gpt":0.4098430015214439,"score_spread":0.3811015980968919,"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."}}