{"id":"W4402986159","doi":"10.2196/58079","title":"Italian Version of the mHealth App Usability Questionnaire (Ita-MAUQ): Translation and Validation Study in People With Multiple Sclerosis","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Usability; System usability scale; Construct validity; Digital health; Telemedicine; eHealth; Psychology; Confirmatory factor analysis; Applied psychology; Medicine; Health care; Clinical psychology; Psychometrics; Computer science; Heuristic evaluation; Nursing; Psychological intervention","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":[0.008126558,0.0007659858,0.001084481,0.001229533,0.001117869,0.001038938,0.000462288,0.0006390139,0.002833741],"category_scores_gemma":[0.01690289,0.0004631432,0.001725188,0.001283345,0.0007446329,0.0007676398,0.001190837,0.001326686,0.001077293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008311504,"about_ca_system_score_gemma":0.001839413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321636,"about_ca_topic_score_gemma":0.004410285,"domain_scores_codex":[0.9966828,0.001178251,0.000549724,0.0004593046,0.0008754775,0.0002544531],"domain_scores_gemma":[0.9932366,0.002152086,0.0008537527,0.0004146976,0.003068944,0.0002738966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001901283,0.005955901,0.6667772,0.00398672,0.0006969984,0.001973214,0.06951796,0.0005066515,0.005917738,0.001252501,0.01556182,0.2259519],"study_design_scores_gemma":[0.000492083,0.003322951,0.9687397,0.0008611831,0.0004302724,0.001859055,0.00797666,0.000966565,0.0007141305,0.0003482927,0.0141999,0.00008920464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9859657,0.001298643,0.002633134,0.0005531221,0.00016637,0.003074142,0.001197913,0.00003700676,0.005073917],"genre_scores_gemma":[0.9720448,0.00173118,0.008929656,0.00110452,0.0001524984,0.01082626,0.002061402,0.00007975547,0.003069899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008126558,"threshold_uncertainty_score":0.04297787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08611115487187533,"score_gpt":0.3508527889784406,"score_spread":0.2647416341065653,"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."}}