{"id":"W2287585561","doi":"10.1007/s12134-016-0475-z","title":"Professional Journeys of International Medical Graduates in Quebec: Recognition, Uphill Battles, or Career Change","year":2016,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal","keywords":"Context (archaeology); Public relations; Ideology; Battle; Protectionism; Immigration; Social capital; Political science; Sociology; Politics; Business; Law; Geography","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004517468,0.0004249833,0.000624206,0.001467711,0.0001833723,0.000129649,0.0007535612,0.0005962633,0.004279454],"category_scores_gemma":[0.009095667,0.0002966347,0.0002376053,0.0004950039,0.0002553245,0.002564785,0.000116041,0.001160957,0.00004073873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743469,"about_ca_system_score_gemma":0.001518369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007748439,"about_ca_topic_score_gemma":0.1302413,"domain_scores_codex":[0.9928586,0.001748695,0.003023381,0.000446195,0.001482762,0.0004403785],"domain_scores_gemma":[0.9899755,0.003072525,0.002440483,0.0002340109,0.003932737,0.0003447295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00392086,0.001570292,0.6926965,0.000203992,0.0004182999,0.0001211549,0.03020065,0.0001006977,0.01893903,0.1063726,0.05371216,0.09174381],"study_design_scores_gemma":[0.01196832,0.001430119,0.5632805,0.02381968,0.0001292411,0.001128122,0.01916836,0.01731339,0.008812312,0.01649063,0.3351753,0.001284083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240815,0.0005144982,0.04441295,0.1165568,0.005489257,0.001147632,0.0003498258,0.00009241776,0.00735514],"genre_scores_gemma":[0.9683742,0.01045041,0.005107219,0.003864817,0.001795235,0.0003038517,0.0004209133,0.00005749353,0.009625855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2814631,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07723206575463377,"score_gpt":0.416516279913202,"score_spread":0.3392842141585682,"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."}}