{"id":"W2939582678","doi":"10.1111/inr.12511","title":"Migration of Latin American nurses to Spain 2006–2016: a case study","year":2019,"lang":"en","type":"article","venue":"International Nursing Review","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Credential; Latin Americans; Government (linguistics); Political science; Nursing; Denial; Credentialing; Psychology; Business; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006952253,0.0001536303,0.0004774248,0.0001327385,0.0001128989,0.000006594482,0.0002369642,0.00004046643,0.0008382226],"category_scores_gemma":[0.0004363389,0.0001348387,0.0000752427,0.000418013,0.00004274099,0.00009213707,0.00003884158,0.0002285335,0.001154008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003851949,"about_ca_system_score_gemma":0.000142905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005974116,"about_ca_topic_score_gemma":0.00141096,"domain_scores_codex":[0.9976047,0.0004985112,0.000873707,0.0002879032,0.0004330019,0.0003022118],"domain_scores_gemma":[0.9981955,0.0003615672,0.0005275233,0.0003457517,0.0004352267,0.0001344653],"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":[0.0001450439,0.0009554781,0.67022,0.0021054,0.0000863899,0.0001205143,0.01323949,0.00005407923,0.0000678217,0.001195029,0.1226502,0.1891606],"study_design_scores_gemma":[0.001533886,0.001985355,0.07146578,0.193215,0.0002439794,0.0001739253,0.05639287,0.0007443341,0.00001642093,0.0002406099,0.6732588,0.0007289762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718967,0.004623153,0.00008211104,0.0104082,0.002069613,0.003442194,0.00003098351,0.00006214798,0.007384858],"genre_scores_gemma":[0.9885695,0.001289815,0.0009763293,0.003666338,0.0002063955,0.0001392171,0.00002622498,0.0000241007,0.005102075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5987542,"threshold_uncertainty_score":0.9996237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834993322999183,"score_gpt":0.5054663910681535,"score_spread":0.4471164578381617,"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."}}