{"id":"W4414300774","doi":"10.12927/hcpol.2025.27622","title":"Employment in the Canadian Medical Profession by Immigrant Status, Racialized Group and Gender","year":2025,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Disadvantage; Immigration; Affect (linguistics); Ethnic group; Census; Race (biology); Asian americans; White (mutation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000757712,0.0002113656,0.0001984716,0.001969795,0.002795801,0.001025124,0.0007418999,0.0002821457,0.004496688],"category_scores_gemma":[0.002899854,0.0001156558,0.0005059188,0.002977448,0.0005598886,0.0003205045,0.001015958,0.0004436856,0.0003558146],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008445187,"about_ca_system_score_gemma":0.01932091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667582,"about_ca_topic_score_gemma":0.9867813,"domain_scores_codex":[0.9993057,0.00005054107,0.00002692402,0.00005168344,0.0002500585,0.0003150546],"domain_scores_gemma":[0.998421,0.0001047629,0.000322746,0.00003018101,0.0005523632,0.0005689232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000570162,0.00002935749,0.9821782,0.00004034088,0.0000271905,0.00009862571,0.002312011,0.00008183286,0.0001194598,0.0006002694,0.003197612,0.01125828],"study_design_scores_gemma":[0.000003620215,0.00001661343,0.990051,0.00007919568,0.00001493938,0.00007957906,0.006315183,0.0001286142,0.00004461572,0.00007499647,0.00318215,0.000009574305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832352,0.001003643,0.00008782693,0.0009683621,0.00003261052,0.00002759683,0.003636914,0.00001233569,0.01099552],"genre_scores_gemma":[0.9957392,0.0009877279,0.0001553876,0.0001788642,0.00001162202,0.00001351891,0.001026947,0.000005441554,0.001881137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9915548,"threshold_uncertainty_score":0.0668751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257269797402617,"score_gpt":0.4848173176368258,"score_spread":0.4322446196627996,"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."}}