{"id":"W2929198708","doi":"10.2196/11500","title":"The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":720,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Usability; mHealth; System usability scale; Computer science; Mobile apps; Heuristic evaluation; World Wide Web; Multimedia; Human–computer interaction; Medicine; Psychological intervention; 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":[0.02906256,0.0005704698,0.0008804385,0.002358018,0.001064238,0.001018153,0.001069714,0.0009205224,0.001599316],"category_scores_gemma":[0.03880822,0.0006980923,0.001408609,0.001150189,0.0009219509,0.001440006,0.001554455,0.001311929,0.0006947847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339015,"about_ca_system_score_gemma":0.005075894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908947,"about_ca_topic_score_gemma":0.002857227,"domain_scores_codex":[0.9854692,0.006024212,0.00237049,0.0008262589,0.00473852,0.0005713796],"domain_scores_gemma":[0.9694659,0.01260442,0.001675185,0.001008917,0.01421768,0.001027857],"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":[0.001699679,0.01337997,0.4215241,0.004660848,0.0003777161,0.001067834,0.05405237,0.00133284,0.0166413,0.001648723,0.00848888,0.4751257],"study_design_scores_gemma":[0.0008813659,0.01890373,0.902527,0.002067522,0.0003939502,0.002034459,0.02277625,0.004700447,0.008655614,0.0005471883,0.03629502,0.0002174655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9361231,0.0007864072,0.01840117,0.0005611742,0.0001602878,0.03789956,0.0009901634,0.0001884584,0.004889749],"genre_scores_gemma":[0.8246036,0.001388217,0.08441171,0.0006736095,0.0000877246,0.0837193,0.001692787,0.0001123462,0.003310862],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02906256,"threshold_uncertainty_score":0.1536994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06851158115830105,"score_gpt":0.4571289658632787,"score_spread":0.3886173847049776,"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."}}