{"id":"W4411232111","doi":"10.2196/68048","title":"Determinants of Nurses’ Continuance Intention to Use Mobile Health Apps in Clinical Nursing Practice: Structural Equation Modeling to Extend the Expectation-Confirmation Model","year":2025,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Continuance; Extension (predicate logic); Psychology; Nursing; Medicine; Social psychology; Computer science; World Wide Web","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":[0.002188383,0.000218329,0.0005345977,0.0004394439,0.0009544151,0.00003235984,0.0002534529,0.0002240275,0.00001091614],"category_scores_gemma":[0.001367647,0.0001988506,0.00008465959,0.000959278,0.00007923896,0.0005698164,0.00003565523,0.0007195869,0.00002650094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041154,"about_ca_system_score_gemma":0.001245726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758471,"about_ca_topic_score_gemma":0.0004496362,"domain_scores_codex":[0.9947183,0.001051531,0.002569101,0.0005500176,0.0003573726,0.0007536563],"domain_scores_gemma":[0.9962836,0.001204284,0.0009306452,0.0005937233,0.0006728469,0.0003148962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001241409,0.0005604657,0.02227858,0.0005796888,0.0000102019,5.296017e-7,0.04940385,0.05485757,0.0002052677,0.01742444,0.003159574,0.8502784],"study_design_scores_gemma":[0.001105035,0.0002337024,0.04005249,0.005874872,0.00002530335,0.0000019079,0.02763602,0.9201282,0.00002065767,0.003702749,0.001033174,0.0001858425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7115271,0.0001922214,0.2660845,0.006919759,0.001521898,0.01329018,0.00002248468,0.0000771755,0.0003646552],"genre_scores_gemma":[0.9753838,0.00007568404,0.01070354,0.003834085,0.0001001708,0.009673029,0.00004223871,0.00002916739,0.0001582794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8652707,"threshold_uncertainty_score":0.8108891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162709323951681,"score_gpt":0.5750455854401327,"score_spread":0.4587746530449646,"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."}}