{"id":"W3171147219","doi":"10.36834/cmej.71790","title":"When a Canadian is not a Canadian: marginalization of IMGs in the CaRMS match","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"CBC (Canada)","funders":"","keywords":"Legislation; IMG; Competence (human resources); Context (archaeology); Political science; Public relations; Credential; Immigration; Public administration; Medical education; Medicine; Psychology; Law; Social psychology; Geography; Computer science","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":[0.003985935,0.0002080532,0.000381234,0.001601708,0.03431525,0.00500401,0.001405035,0.001335719,0.004699753],"category_scores_gemma":[0.009051431,0.0002431306,0.0002999396,0.002424736,0.01507453,0.002146542,0.007887054,0.003029989,0.0002098023],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04723971,"about_ca_system_score_gemma":0.09265254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558291,"about_ca_topic_score_gemma":0.9772887,"domain_scores_codex":[0.9933243,0.001064163,0.0001047518,0.0003604161,0.001892283,0.003254018],"domain_scores_gemma":[0.9958969,0.0006297942,0.0003692776,0.0001014001,0.000959941,0.002042745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009318905,0.00007122105,0.09440342,0.0001211171,0.0000216048,0.002311347,0.7647569,0.0001783044,0.0007118816,0.06899033,0.01909849,0.0492422],"study_design_scores_gemma":[0.00000502641,0.00003545752,0.05243831,0.0002301616,0.00001671054,0.0005800521,0.8834335,0.0001459437,0.0002060511,0.00281562,0.06003435,0.00005877155],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953674,0.002225995,0.000604054,0.04600047,0.0002632557,0.00004016527,0.00009705577,0.00001789458,0.05538364],"genre_scores_gemma":[0.9930255,0.0006958243,0.000159199,0.002977646,0.00002314513,0.000007954441,0.00002462123,0.000009308042,0.0030766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9527603,"threshold_uncertainty_score":0.3427497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072686747635586,"score_gpt":0.4093076645878389,"score_spread":0.3785807971114831,"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."}}