{"id":"W2549599341","doi":"","title":"Navigating otherness and belonging : A comparative case study of IMGs’ professional integration in Canada and Sweden","year":2015,"lang":"en","type":"article","venue":"DiVA (Mälardalen University College)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004662372,0.0001532421,0.0003954262,0.00007258125,0.0005298667,0.00000298695,0.0001119616,0.00009023429,0.00002673513],"category_scores_gemma":[0.00004548188,0.0001524267,0.00001001816,0.0004102439,0.00005867824,0.0001919772,0.0002563334,0.0005311402,0.00000136229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020753,"about_ca_system_score_gemma":0.001354079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9581966,"about_ca_topic_score_gemma":0.9882392,"domain_scores_codex":[0.9979984,0.0007734157,0.0003452461,0.0002734102,0.000289969,0.0003195806],"domain_scores_gemma":[0.9987014,0.0004092162,0.0002423771,0.0001445412,0.000274171,0.0002283275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002821246,0.0001319463,0.8534835,0.0001301093,0.00002500358,0.001227384,0.1427275,0.00005101756,0.00001170153,0.0006658212,0.0005994996,0.0006644048],"study_design_scores_gemma":[0.003015765,0.000138078,0.06022756,0.0008833978,0.00002246772,0.00004244487,0.9338768,0.00141086,0.00001346547,0.00003353151,0.0001877897,0.0001478647],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997462,0.00009677502,0.000009309756,0.0002678664,0.000197542,0.001356054,0.0001541525,0.00001804751,0.000438197],"genre_scores_gemma":[0.9989824,0.000005836923,0.0001494795,0.00005488979,0.00001980326,0.000005353424,0.000008925123,0.000008263452,0.0007650123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7932559,"threshold_uncertainty_score":0.6215782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06715178756532827,"score_gpt":0.3916818561303912,"score_spread":0.3245300685650629,"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."}}