{"id":"W2413533163","doi":"10.7748/nm.22.7.17.s18","title":"A workforce for the future","year":2015,"lang":"en","type":"article","venue":"Nursing Management","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Workforce; Business; MEDLINE; Computer science; Nursing; Process management; Medicine; Political science; 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":[0.008434242,0.001416166,0.001121951,0.001246153,0.01280075,0.01433126,0.001988421,0.01785888,0.08227594],"category_scores_gemma":[0.01928572,0.0005689809,0.001255614,0.0007925939,0.005665458,0.01347867,0.01359033,0.02967056,0.03888971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008069614,"about_ca_system_score_gemma":0.05225341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662785,"about_ca_topic_score_gemma":0.04304075,"domain_scores_codex":[0.9896621,0.002080919,0.0003937581,0.0007301022,0.003121809,0.004011375],"domain_scores_gemma":[0.9657606,0.001523553,0.0005688933,0.0005962306,0.003986548,0.02756432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001245461,0.00002640526,0.0001342377,0.00006888477,0.000003791066,0.00006410732,0.0004654374,0.00001271683,0.00007698478,0.007196114,0.9773877,0.01455109],"study_design_scores_gemma":[0.000006205455,0.00002773787,0.0003118428,0.0003133629,0.00000301107,0.00007850736,0.001674466,0.00001418818,0.00002321886,0.002299318,0.9952374,0.00001081176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003659578,0.011005,0.0002260522,0.8898923,0.06871729,0.00002161427,0.00005882433,0.00007687007,0.02963605],"genre_scores_gemma":[0.01501704,0.02031728,0.00107225,0.5933952,0.02533421,0.0001302957,0.0001965944,0.0001912356,0.344346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08227594,"threshold_uncertainty_score":0.2752404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089798520162479,"score_gpt":0.4765716926223566,"score_spread":0.3675918406061087,"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."}}