{"id":"W4404808871","doi":"10.1370/afm.22.s1.6174","title":"Examining the role of physician areas of practice on the gender pay gap in family medicine in Ontario","year":2024,"lang":"en","type":"article","venue":"","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender pay gap; Family medicine; Business; Medicine; Labour economics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002545218,0.0002057242,0.0004353875,0.001194653,0.001836369,0.001011782,0.00126108,0.0004811924,0.003215465],"category_scores_gemma":[0.01196569,0.0002291973,0.0008452047,0.003051722,0.0009212932,0.0008369097,0.001509881,0.0005360502,0.0002023408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02757805,"about_ca_system_score_gemma":0.03199398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9635213,"about_ca_topic_score_gemma":0.9779523,"domain_scores_codex":[0.9969201,0.0005509149,0.0001766064,0.0003696557,0.0009288856,0.00105384],"domain_scores_gemma":[0.9891018,0.002185322,0.004291936,0.0003584255,0.002031022,0.002031473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000868565,0.00002432753,0.9903757,0.00005298328,0.00003881197,0.00004657489,0.002671191,0.00009899553,0.00005446148,0.0003222174,0.00113197,0.005095934],"study_design_scores_gemma":[0.000005034528,0.00001657891,0.9965866,0.00004330491,0.0000141798,0.00001208443,0.002138305,0.0002401046,0.00001734839,0.00005923439,0.0008637969,0.000003359042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911774,0.0007842338,0.0002373872,0.001804301,0.00002573647,0.00004425824,0.002746836,0.000007821048,0.003172092],"genre_scores_gemma":[0.9982629,0.0001407655,0.0001573384,0.0001562546,0.00001151943,0.00003380906,0.0005407319,0.00000443587,0.0006922501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364787,"threshold_uncertainty_score":0.2000937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045196909392799,"score_gpt":0.316830567433091,"score_spread":0.212310876493811,"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."}}