{"id":"W4410522717","doi":"10.1186/s12912-025-03217-3","title":"Individual and unit-level predictors of promotive voice in nursing: a multilevel analysis","year":2025,"lang":"en","type":"article","venue":"BMC Nursing","topic":"Nursing education and management","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Multilevel model; Unit (ring theory); Nursing management; Nursing; Nursing research; Psychology; Work (physics); Employee voice; Medicine; Applied psychology; Social psychology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005378442,0.0003617506,0.0006810818,0.001669452,0.00105085,0.001111132,0.0008950406,0.0005766967,0.002120487],"category_scores_gemma":[0.01224584,0.0004219538,0.002156491,0.001588216,0.0005214752,0.0008277451,0.001873947,0.001176842,0.0001998049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008001526,"about_ca_system_score_gemma":0.001643538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323267,"about_ca_topic_score_gemma":0.02484162,"domain_scores_codex":[0.9961129,0.002081482,0.000217493,0.0005428828,0.0005457209,0.000499311],"domain_scores_gemma":[0.9897849,0.005557545,0.001725563,0.0009839201,0.0008596987,0.001088498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007947141,0.00005362663,0.9962922,0.00001751846,0.0004482791,0.0000449237,0.0004570018,0.0002306315,0.0001350866,0.00007314431,0.0001237379,0.002044352],"study_design_scores_gemma":[0.00001274519,0.0003534839,0.9907174,0.00005194381,0.000421627,0.00008024342,0.00129273,0.006370562,0.0001428961,0.0002352979,0.0003038811,0.00001720915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997313,0.0002320861,0.00166449,0.0001372714,0.00001223887,0.00003406096,0.0002317464,0.00001628067,0.0003587866],"genre_scores_gemma":[0.9988417,0.00005305753,0.0008106484,0.00001360855,0.000006583263,0.00003651003,0.0001397063,0.000005668063,0.00009257997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323267,"threshold_uncertainty_score":0.04619485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477169874349822,"score_gpt":0.354856778142985,"score_spread":0.3100850793994868,"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."}}