{"id":"W2788956296","doi":"10.5430/jnep.v8n7p60","title":"Developing a measure for health professionals’ attitudes toward veterans","year":2018,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Delphi method; Scale (ratio); Confirmatory factor analysis; Health care; Workforce; Nursing; Exploratory factor analysis; Psychology; Veterans Affairs; Delphi; Test (biology); Quality (philosophy); Medicine; Population; Medical education; Psychometrics; Structural equation modeling; Clinical psychology; Political science; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003499649,0.0001098544,0.0002629162,0.0001329809,0.001561669,0.00002236547,0.0001129954,0.0001162611,0.00004929014],"category_scores_gemma":[0.003360767,0.00009038726,0.00003968577,0.0001899548,0.00006396524,0.0005879154,0.00001645647,0.0004409417,0.00001273784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524544,"about_ca_system_score_gemma":0.005355129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004780119,"about_ca_topic_score_gemma":0.00001950967,"domain_scores_codex":[0.9975044,0.0009861686,0.000742932,0.0001367848,0.0002876304,0.0003420479],"domain_scores_gemma":[0.9942391,0.001909019,0.001290131,0.0001081971,0.002207578,0.0002459685],"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":[0.002350586,0.001328542,0.003113575,0.001173934,0.00008111361,9.432831e-7,0.1953714,5.396651e-7,0.0000757468,0.01287548,0.4410376,0.3425905],"study_design_scores_gemma":[0.0009086582,0.0007640601,0.01390914,0.01357426,0.00006459175,0.0003665957,0.07352238,0.000009821358,0.00001526414,0.002341211,0.894377,0.0001470144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07656966,0.01011946,0.0224819,0.8572848,0.01782175,0.001695637,0.000007857228,0.0000533903,0.01396548],"genre_scores_gemma":[0.778503,0.0005978286,0.1701947,0.04498842,0.004144017,0.00004115968,0.000006549779,0.00003386752,0.001490406],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8122965,"threshold_uncertainty_score":0.9997382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3481326121367089,"score_gpt":0.6325198708206777,"score_spread":0.2843872586839688,"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."}}