{"id":"W6884618140","doi":"10.11575/prism/48934","title":"AIMGA's Career Transition Program for IMGs","year":2019,"lang":"en","type":"other","venue":"Open MIND","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensure; Immigration; IMG; Career Pathways; Perception; Certification; Health care; Focus group","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838052,0.0003863961,0.0001846681,0.0009036905,0.003229425,0.0009563399,0.00102373,0.0007079404,0.03210787],"category_scores_gemma":[0.002448506,0.0002303835,0.0004696661,0.0004778466,0.0003331266,0.0004502647,0.00402684,0.002138725,0.006750043],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172815,"about_ca_system_score_gemma":0.0092668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004264959,"about_ca_topic_score_gemma":0.02238284,"domain_scores_codex":[0.9993466,0.0001630252,0.00001819386,0.00003959076,0.0000985502,0.0003340788],"domain_scores_gemma":[0.9966908,0.0001399394,0.00009850374,0.0001077318,0.0003249472,0.002638089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001409622,0.01358405,0.06418718,0.0006918087,0.00002691718,0.001566709,0.01180777,0.000541627,0.003549195,0.002040649,0.2836732,0.6169212],"study_design_scores_gemma":[0.001269705,0.0102641,0.3127712,0.001179752,0.00005326236,0.001819159,0.03265922,0.001778038,0.002291578,0.002384081,0.6334372,0.00009270244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8002695,0.001114379,0.006162558,0.02142126,0.002558976,0.01142657,0.002744643,0.002029162,0.152273],"genre_scores_gemma":[0.7421461,0.001645738,0.04511794,0.0122689,0.0005076777,0.01887961,0.003509456,0.0002670206,0.1756576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9988272,"threshold_uncertainty_score":0.1074115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109984029689549,"score_gpt":0.4976546808998569,"score_spread":0.387670651210308,"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."}}