{"id":"W2067146838","doi":"10.12927/cjnl.2013.23248","title":"I Was Never Recruited: Challenges in Cross-Canada Nurse Mobility","year":2013,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College; University of Toronto; McMaster University; Dalhousie University; Centre for Disability Prevention and Rehabilitation","funders":"University of Toronto; Health Canada; Canadian Foundation for Healthcare Improvement","keywords":"Incentive; Nursing; Work (physics); Health human resources; Registered nurse; Human resources; Business; Psychology; Medicine; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008716974,0.000304839,0.0004625034,0.0001205216,0.0005224311,0.00002369499,0.0003828748,0.0005041664,0.002031716],"category_scores_gemma":[0.0004796184,0.0002987742,0.00005527334,0.00039245,0.0002681423,0.000489172,0.00002279388,0.001398658,0.0008869705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457724,"about_ca_system_score_gemma":0.0009765354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2649755,"about_ca_topic_score_gemma":0.2816373,"domain_scores_codex":[0.9953586,0.0008572848,0.0008285281,0.0006314804,0.0005111621,0.00181295],"domain_scores_gemma":[0.9975215,0.000844425,0.0002139261,0.0007358679,0.0002586783,0.0004256236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004374814,0.00095837,0.462483,0.003352011,0.00003575789,0.00005283233,0.07427482,0.0002043881,0.00008879499,0.01143112,0.2510392,0.1956422],"study_design_scores_gemma":[0.001411399,0.00009755086,0.748212,0.005155316,0.00001206415,0.000004471445,0.191345,0.0003395253,0.00003107751,0.005507385,0.04735973,0.0005245244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778059,0.008679942,0.000005588983,0.1217019,0.003610885,0.002599364,0.00001064482,0.0002877635,0.08529805],"genre_scores_gemma":[0.9880545,0.00009814798,0.0002379177,0.005120258,0.0004258465,0.0002870557,0.00001519457,0.00005402005,0.005707032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2857289,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3993059774103809,"score_gpt":0.4552762218080459,"score_spread":0.05597024439766501,"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."}}