{"id":"W1823382228","doi":"10.1080/13557858.2015.1054100","title":"‘Not everyone can be a Gandhi’: South Asian-trained doctors immigrating to Canada,<i>c.</i>1961–1971","year":2015,"lang":"en","type":"article","venue":"Ethnicity and Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Political science; Socioeconomics; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002909153,0.0003867358,0.000836725,0.0001310249,0.00158013,0.00002194106,0.0002865802,0.0002886274,0.0001265973],"category_scores_gemma":[0.0006574802,0.0003542386,0.00005183006,0.0005997722,0.00007462278,0.00008256934,0.0002116102,0.001280323,0.00004615765],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845858,"about_ca_system_score_gemma":0.009739484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9381249,"about_ca_topic_score_gemma":0.9849193,"domain_scores_codex":[0.9944236,0.0009277244,0.001326844,0.0006538127,0.0007908038,0.001877255],"domain_scores_gemma":[0.9955622,0.0003009405,0.0005119093,0.0005133049,0.0003241786,0.002787484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005113706,0.0001214542,0.07356091,0.001699198,0.00004840838,0.00004862428,0.3045897,0.0000840353,0.00004018345,0.002861237,0.609587,0.006847834],"study_design_scores_gemma":[0.004773979,0.001503849,0.225203,0.002430542,0.00004026257,0.00001859537,0.2086931,0.0002429219,0.00007253888,0.0004482143,0.5553039,0.00126898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7857009,0.001350862,0.0001630769,0.2016867,0.002208247,0.002914667,0.0004741176,0.0002727088,0.005228818],"genre_scores_gemma":[0.8860556,0.00009131327,0.000940154,0.104347,0.000595608,0.0001078248,0.00005639282,0.00004935265,0.007756784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516421,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648856741540913,"score_gpt":0.4439320929040885,"score_spread":0.2790464187499972,"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."}}