{"id":"W2780798649","doi":"10.1111/jonm.12573","title":"Factors in the drop in the migration of Spanish-trained nurses: 1999-2007","year":2017,"lang":"en","type":"article","venue":"Journal of Nursing Management","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Nursing; Demographic economics; Nursing management; Business; Drop out; Medicine; Psychology; Economics; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593739,0.0001643242,0.0002676989,0.0009117511,0.0003938137,0.0008903968,0.0007793341,0.0006361851,0.002091058],"category_scores_gemma":[0.006022594,0.0001176584,0.0003138198,0.001593742,0.0002659279,0.0004335005,0.0008949059,0.0009327595,0.0004184549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576514,"about_ca_system_score_gemma":0.001481749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07902621,"about_ca_topic_score_gemma":0.07943398,"domain_scores_codex":[0.9993697,0.0001141925,0.00008579945,0.0001055244,0.0001173567,0.0002075069],"domain_scores_gemma":[0.9955794,0.0005597648,0.002284575,0.0001573839,0.0009131972,0.0005055828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001119804,0.00004905094,0.9926401,0.00003321869,0.00002027539,0.00004973261,0.0003753361,0.00008880063,0.00004851666,0.00006039223,0.001622684,0.004899867],"study_design_scores_gemma":[0.000002100102,0.00001745595,0.9983314,0.00001689712,0.000002916868,0.00002270746,0.0008528749,0.00007367799,0.00001982723,0.00001155598,0.0006467622,0.000001795009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950404,0.0005859123,0.0000942245,0.0008928951,0.00003225158,0.00001555912,0.002010285,0.000008441056,0.001320065],"genre_scores_gemma":[0.9947479,0.0004684486,0.00009854406,0.0002039377,0.00002917566,0.00003017276,0.003423116,0.0000075127,0.0009911237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07902621,"threshold_uncertainty_score":0.1571325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232764859679689,"score_gpt":0.4885298906081393,"score_spread":0.3652534046401704,"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."}}