{"id":"W2165154240","doi":"10.1503/cmaj.050675","title":"The use of provisionally licensed international medical graduates in Canada","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research","keywords":"Economic shortage; Distribution (mathematics); Family medicine; Medicine; Geography; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001406417,0.0001543175,0.0002725129,0.001775567,0.005511657,0.002639486,0.001694682,0.0006741715,0.004556261],"category_scores_gemma":[0.007127091,0.0002687248,0.0002902447,0.003316509,0.00143711,0.0005703614,0.001824556,0.001544149,0.0002314268],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06690785,"about_ca_system_score_gemma":0.1625402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956031,"about_ca_topic_score_gemma":0.998574,"domain_scores_codex":[0.9972292,0.0002376887,0.0000966212,0.000203001,0.001177706,0.001055758],"domain_scores_gemma":[0.9853278,0.0007243654,0.001562808,0.000174789,0.004862628,0.007347638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000298165,0.0003134438,0.7048739,0.0007359481,0.00008960177,0.001210316,0.01865334,0.0005054756,0.00111433,0.009585273,0.06898326,0.193637],"study_design_scores_gemma":[0.00004407339,0.0001029665,0.9202047,0.0006511424,0.00004446755,0.0005557318,0.01642139,0.0005580984,0.0002491302,0.0003535045,0.06075214,0.0000626119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884693,0.01165956,0.000364553,0.03186185,0.0004972392,0.0001192378,0.003492336,0.00008466277,0.06345127],"genre_scores_gemma":[0.9868519,0.00440522,0.0003183728,0.002367233,0.00004171935,0.00001665338,0.0004704389,0.00001730203,0.005511221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9330921,"threshold_uncertainty_score":0.4854527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982145015199443,"score_gpt":0.3565086365843924,"score_spread":0.3266871864323979,"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."}}