{"id":"W4413225301","doi":"10.2196/82101","title":"Digital Leadership Scale for Clinical Nurses (DLS-CN) : Development and Validation of Instrument (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"JMIR Nursing","topic":"Education and Professional Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Health care; Scale (ratio); Exploratory factor analysis; Psychology; Confirmatory factor analysis; Likert scale; Digital health; Relevance (law); Nursing; Medical education; Medicine; Computer science; Psychometrics; Clinical psychology; Structural equation modeling","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":[],"consensus_categories":[],"category_scores_codex":[0.001067984,0.0001639647,0.0003055333,0.0001325344,0.0003400524,0.0001306625,0.0002361488,0.0003166859,0.00004014692],"category_scores_gemma":[0.0002576636,0.0001712741,0.0001001061,0.0001105503,0.0003176088,0.0001282093,0.0001258934,0.0002697371,0.000005332278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003353332,"about_ca_system_score_gemma":0.002109637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001226626,"about_ca_topic_score_gemma":0.00002099014,"domain_scores_codex":[0.9981149,0.0001654027,0.000663016,0.0004391389,0.0003663136,0.0002512151],"domain_scores_gemma":[0.9987619,0.0003944689,0.0003225759,0.0001749594,0.0002167167,0.0001293719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001008552,0.0004441175,0.02946118,0.0004047127,0.00004448402,1.190802e-7,0.08902586,0.000007050888,0.000005618161,0.002756555,0.003859244,0.8738902],"study_design_scores_gemma":[0.001763688,0.0001424876,0.2132781,0.01807651,0.0001184861,0.000001542643,0.216117,0.00006964791,0.005930503,0.03072061,0.5123662,0.001415193],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393674,0.0002518668,0.001159676,0.01122753,0.006524911,0.002504228,0.00003168391,0.0000843883,0.03884833],"genre_scores_gemma":[0.9692429,0.00009901356,0.01469468,0.0001684208,0.0003123769,0.00034772,0.0001602918,0.00001385632,0.01496072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.872475,"threshold_uncertainty_score":0.6984355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2494273091977253,"score_gpt":0.4926638207707455,"score_spread":0.2432365115730202,"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."}}