{"id":"W4400237280","doi":"10.2196/55324","title":"Design and Psychometric Evaluation of Nurses’ Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Scale (ratio); Psychology; Applied psychology; Computer science; Knowledge management; World Wide Web; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02074736,0.000592856,0.0008131298,0.001741596,0.0008116853,0.001234801,0.0006911327,0.0005992968,0.002035949],"category_scores_gemma":[0.03584355,0.0005030322,0.001596966,0.001215106,0.000981899,0.0010587,0.001355311,0.001132307,0.0004558422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051181,"about_ca_system_score_gemma":0.004277867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000731,"about_ca_topic_score_gemma":0.001867572,"domain_scores_codex":[0.9855849,0.007104278,0.002007057,0.0006428432,0.004252394,0.0004084927],"domain_scores_gemma":[0.9802617,0.009611824,0.001925835,0.0007774436,0.006734627,0.0006886416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0021052,0.008712695,0.4684326,0.002605723,0.000438037,0.0004500541,0.02060279,0.002871628,0.009183545,0.002258419,0.00359831,0.478741],"study_design_scores_gemma":[0.001901234,0.02196231,0.9150767,0.001569215,0.0004683901,0.0007132317,0.01435668,0.01955597,0.008797948,0.002703146,0.01260731,0.0002878339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309571,0.0003453898,0.02993924,0.0004759904,0.0001201191,0.03279359,0.0005344073,0.0001652142,0.004669023],"genre_scores_gemma":[0.8116908,0.0004603964,0.1103572,0.0003500074,0.00005652858,0.07505895,0.0007589004,0.0000435761,0.001223679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02074736,"threshold_uncertainty_score":0.1097239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865297991642071,"score_gpt":0.479042339065143,"score_spread":0.4003893591487223,"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."}}