{"id":"W2080235957","doi":"10.1503/cmaj.080838","title":"Immigrant workers flood training program","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Government (linguistics); Training (meteorology); Immigration; Health care; Medicine; Medical education; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001092285,0.000342049,0.0001789745,0.0005777406,0.006882725,0.001193286,0.001015884,0.001613995,0.06916028],"category_scores_gemma":[0.001048131,0.0002271471,0.0004332693,0.0002375922,0.0007088079,0.000330007,0.003191721,0.002607048,0.00874462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590902,"about_ca_system_score_gemma":0.02909707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1618858,"about_ca_topic_score_gemma":0.4472977,"domain_scores_codex":[0.9994586,0.00004175416,0.000008167395,0.00002698992,0.0001157447,0.0003487867],"domain_scores_gemma":[0.9981748,0.00005100822,0.00002016209,0.00003464745,0.0002244416,0.001495025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00020073,0.00111343,0.01324283,0.0001133669,0.00001332625,0.0006456197,0.002475924,0.00008790829,0.001325856,0.003069454,0.871906,0.1058056],"study_design_scores_gemma":[0.0002621894,0.000675162,0.1063067,0.0002396966,0.0000274359,0.0004594871,0.006145354,0.0002204181,0.0005681256,0.0009006158,0.8841551,0.00003981027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2933213,0.00231725,0.0009783661,0.1278596,0.01158475,0.001747504,0.004910312,0.00156057,0.5557203],"genre_scores_gemma":[0.220304,0.001516424,0.001745025,0.05529764,0.001494039,0.0007163374,0.003052433,0.000100318,0.7157737],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8381143,"threshold_uncertainty_score":0.3218869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042413145177899,"score_gpt":0.3834687366174164,"score_spread":0.3410555914395174,"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."}}