{"id":"W2124133248","doi":"10.1111/j.1475-6773.2007.00709.x","title":"Nurse Migration: A Canadian Case Study","year":2007,"lang":"en","type":"article","venue":"Health Services Research","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association","funders":"","keywords":"Workforce; Nursing; Beneficiary; Nursing shortage; Business; Medicine; Emigration; Immigration policy; Immigration; Nurse education; Economic growth; Political science; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01619326,0.0002409721,0.0004357283,0.0009932618,0.006626009,0.00004156488,0.0005400701,0.00031865,0.001230096],"category_scores_gemma":[0.00006692475,0.000226272,0.00004195724,0.002361565,0.0000867564,0.0002116852,0.0001375268,0.002184953,0.002868844],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002848237,"about_ca_system_score_gemma":0.005896128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846717,"about_ca_topic_score_gemma":0.9986281,"domain_scores_codex":[0.9898168,0.002813954,0.001287126,0.0006646735,0.001322517,0.004094972],"domain_scores_gemma":[0.9928444,0.001264909,0.0002915607,0.0009916282,0.00131393,0.003293573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001893516,0.0003720174,0.7157015,0.002258463,0.00002193024,0.006549466,0.243696,0.000005452109,0.000001116679,0.0007618528,0.01777087,0.01267197],"study_design_scores_gemma":[0.000885628,0.0006835323,0.06655289,0.0006152707,0.000003408628,0.0001711479,0.6822927,0.0002491592,7.632194e-7,0.00008707611,0.2482948,0.0001636007],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591939,0.001329407,0.000008498736,0.00908785,0.0006878985,0.006071995,0.0000328098,0.0001715111,0.02341608],"genre_scores_gemma":[0.9866421,0.0001166228,0.0002282318,0.007918147,0.0008167636,0.0003158816,0.0000398377,0.00005588794,0.003866579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6491486,"threshold_uncertainty_score":0.9997395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374387496834674,"score_gpt":0.5940863956187808,"score_spread":0.4566476459353134,"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."}}