{"id":"W2906275827","doi":"10.2196/10255","title":"The Service User Technology Acceptability Questionnaire: Psychometric Evaluation of the Norwegian Version","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Akershus Universitetssykehus; Diabetesforbundet; Norges Forskningsråd; Høgskolen i Oslo og Akershus","keywords":"Norwegian; Confirmatory factor analysis; Intervention (counseling); Sample (material); Psychology; Health care; Service (business); Applied psychology; Medicine; Nursing","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":[0.009281592,0.0003592538,0.0005744206,0.001013255,0.0004135603,0.0006047333,0.0006508897,0.0003711996,0.002990882],"category_scores_gemma":[0.02107557,0.0002614255,0.001361275,0.001064028,0.0004518269,0.0006815854,0.001186254,0.0005815172,0.0004060451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009189498,"about_ca_system_score_gemma":0.001921377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00876541,"about_ca_topic_score_gemma":0.008933846,"domain_scores_codex":[0.9937307,0.002535847,0.0009825106,0.000308206,0.002222839,0.0002199309],"domain_scores_gemma":[0.9886295,0.005215317,0.001695617,0.0003568604,0.003662575,0.0004402389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00187534,0.001286525,0.7773331,0.001813969,0.0006132048,0.0003243765,0.01119789,0.001850019,0.00358613,0.0008166833,0.01242123,0.1868816],"study_design_scores_gemma":[0.0001599018,0.001260505,0.9840533,0.0003209541,0.0001018637,0.0002883367,0.001796187,0.001594035,0.0004600828,0.0002313856,0.009679435,0.00005412614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773851,0.001346809,0.00541905,0.0004657478,0.0001524904,0.002178122,0.004646135,0.00008149637,0.008325014],"genre_scores_gemma":[0.9788789,0.0008908148,0.01129952,0.0001876554,0.00003198663,0.00346604,0.003259237,0.00004274154,0.001943177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009281592,"threshold_uncertainty_score":0.04908633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352257215676038,"score_gpt":0.4658991065998005,"score_spread":0.3923765344430402,"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."}}