{"id":"W2801784079","doi":"10.18741/jpcoe35","title":"New Immigrant Health Professional’s Individual, Societal and Economic Impact of Ryerson University’s Internationally Trained Medical Doctors (ITMDs) Bridging Program: Results from a Pilot Bridge Training Program at the Chang School of Continuing Education","year":2018,"lang":"en","type":"article","venue":"Journal of Professional Continuing and Online Education","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Workforce; Health care; Medical education; Bridging (networking); Public relations; Psychology; Business; Medicine; Political science; Economic growth; Economics","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":[0.003794571,0.0001712409,0.0003057643,0.0007475078,0.002648579,0.00154558,0.0007987257,0.0005096826,0.00356076],"category_scores_gemma":[0.01133007,0.0001853446,0.0004818125,0.0007856659,0.0009205022,0.0007033897,0.003100451,0.0009320267,0.0002527712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007084977,"about_ca_system_score_gemma":0.01788078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3298563,"about_ca_topic_score_gemma":0.5317286,"domain_scores_codex":[0.9973482,0.0008247794,0.0001104785,0.0001191609,0.000782387,0.0008149784],"domain_scores_gemma":[0.9945962,0.001089626,0.0005359467,0.0001392319,0.001458899,0.002180169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068417,0.007833669,0.4712287,0.001015961,0.0002167304,0.001700652,0.242462,0.0003591478,0.001424037,0.001061404,0.0135731,0.2580562],"study_design_scores_gemma":[0.0001119806,0.001984126,0.7125919,0.0003394685,0.0001000169,0.0002558203,0.2673388,0.0002888529,0.0004292371,0.0001525594,0.01634688,0.00006031388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937235,0.0001153492,0.00002270915,0.000836654,0.00001797701,0.0001230827,0.0001319068,0.000004170136,0.005024618],"genre_scores_gemma":[0.9957872,0.0004387442,0.0003050653,0.0005747111,0.00001812792,0.0001356208,0.0002186141,0.000006269061,0.002515574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6701437,"threshold_uncertainty_score":0.6558726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111169211479821,"score_gpt":0.4543912973559435,"score_spread":0.4032796052411453,"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."}}