{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01850173,0.0003505081,0.0009638747,0.001321176,0.02588876,0.006028654,0.003954667,0.001552255,0.005508226],"category_scores_gemma":[0.03174298,0.0005826118,0.0005007431,0.003117958,0.005708778,0.002705371,0.006323764,0.003174442,0.0007097282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03740995,"about_ca_system_score_gemma":0.09222703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9284481,"about_ca_topic_score_gemma":0.9703732,"domain_scores_codex":[0.9831598,0.004647773,0.0007908612,0.001130731,0.004554678,0.005716049],"domain_scores_gemma":[0.9720285,0.005765815,0.003417716,0.0009205867,0.00851566,0.009351748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000227634,0.0002211376,0.2646131,0.0008249375,0.0000658105,0.003462811,0.5413213,0.0001396013,0.0007321195,0.003997847,0.04222248,0.1421711],"study_design_scores_gemma":[0.00001452996,0.0001263335,0.1306939,0.001131954,0.00002561079,0.001050294,0.825981,0.0001783918,0.0001866911,0.000605867,0.03991175,0.00009364509],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062314,0.004200167,0.001443136,0.06140351,0.0009884994,0.0003869646,0.0005636556,0.00008367786,0.02469899],"genre_scores_gemma":[0.9580796,0.003483744,0.001475667,0.02512714,0.0001271687,0.0002991309,0.0002947169,0.00009108571,0.01102177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07155192,"threshold_uncertainty_score":0.2714294,"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."}}