{"id":"W1603220880","doi":"10.26686/lew.v0i0.2221","title":"New Zealand’s Migrant Asian Nurses: Recent Trends, Future Plans","year":2015,"lang":"en","type":"article","venue":"Labour Employment and Work in New Zealand","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Economic shortage; China; Population ageing; Sustainability; Medicine; Career Pathways; Workforce planning; Population; Nursing; Family medicine; Geography; Business; Economic growth; Environmental health; Medical education; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000589129,0.0004406083,0.0006457469,0.0002550331,0.0002890612,0.00005058029,0.0003155189,0.0004965519,0.001060866],"category_scores_gemma":[0.00004418967,0.0003592142,0.0000596882,0.0009950282,0.00003680609,0.0001538505,0.000126316,0.0008904043,0.0002451704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377665,"about_ca_system_score_gemma":0.0007236907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0160461,"about_ca_topic_score_gemma":0.04653811,"domain_scores_codex":[0.9961839,0.0004019525,0.0009010768,0.0006115113,0.0005295752,0.001371966],"domain_scores_gemma":[0.9974831,0.0001346093,0.0002711639,0.0004930715,0.00008867282,0.0015294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000451786,0.00003832722,0.5003087,0.00001715838,0.00001371194,0.00002052925,0.01538231,0.000003301133,4.621668e-7,0.0003763443,0.4535376,0.02984981],"study_design_scores_gemma":[0.003675768,0.0001795089,0.2815107,0.000559644,0.00001885657,0.000004528867,0.00248515,0.000001119995,0.000001224682,0.001505349,0.70979,0.0002681314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8715081,0.00501121,0.000008504736,0.1072404,0.005929899,0.001494322,0.00009737509,0.0003586974,0.008351536],"genre_scores_gemma":[0.08039092,0.004493449,0.002091028,0.005200794,0.006336874,0.0001101059,0.0003741531,0.0001500991,0.9008526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8925011,"threshold_uncertainty_score":0.999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446689561004849,"score_gpt":0.3660720059131354,"score_spread":0.3316051103030869,"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."}}