{"id":"W2890039328","doi":"10.1111/nin.12263","title":"Nursing professionalization and welfare state policies: A critical review of structural factors influencing the development of nursing and the nursing workforce","year":2018,"lang":"en","type":"review","venue":"Nursing Inquiry","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association; Public Health Ontario; University of Toronto","funders":"","keywords":"Professionalization; Workforce; Nursing; Health care; Welfare; Nurse education; Welfare state; Politics; Political science; Medicine; Economic growth; Sociology; Economics; Social science","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00164169,0.0006725985,0.002201322,0.0002385532,0.003497243,0.00003261739,0.0003796249,0.0003718385,0.0000324006],"category_scores_gemma":[0.0007437774,0.0003590367,0.0002400458,0.0006197027,0.004967497,0.0002127283,0.0001138651,0.0009666545,0.000001487289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007679336,"about_ca_system_score_gemma":0.0007569764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882972,"about_ca_topic_score_gemma":0.000003507882,"domain_scores_codex":[0.993674,0.001956846,0.002332606,0.000545004,0.0006966055,0.0007949753],"domain_scores_gemma":[0.9953081,0.001945394,0.001564991,0.0005099648,0.000537008,0.000134519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006128748,0.00005718768,0.0002470429,0.05721595,0.0001258095,3.093418e-7,0.2885703,1.998018e-7,6.498654e-7,0.008342962,0.001198866,0.6441794],"study_design_scores_gemma":[0.0004452037,0.00004995537,0.00186877,0.9200844,0.001280984,0.00001268878,0.0472149,0.000009876008,0.000002078041,0.00256213,0.02606105,0.0004079941],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004230511,0.9862916,0.000225763,0.003396824,0.002112218,0.002620824,0.00002607433,0.00005622008,0.001039927],"genre_scores_gemma":[0.01029662,0.9880592,0.0004930168,0.0001960447,0.0005327404,0.0001249203,0.00008062382,0.0001135321,0.0001032655],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8628684,"threshold_uncertainty_score":0.9998862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2291535637220375,"score_gpt":0.5249401697083498,"score_spread":0.2957866059863123,"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."}}