{"id":"W3033044601","doi":"10.2196/16844","title":"The Mobile Health App Trustworthiness Checklist: Usability Assessment","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research; MQ: Transforming Mental Health","keywords":"Checklist; mHealth; Usability; Likert scale; Psychology; Mobile apps; Trustworthiness; Medical education; Applied psychology; Medicine; World Wide Web; Computer science; Social psychology; 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":[0.04222812,0.0008340215,0.001252515,0.005667347,0.001275796,0.001839329,0.001568822,0.0008148945,0.00166279],"category_scores_gemma":[0.106458,0.0005505822,0.002252517,0.002730602,0.0009565068,0.002113934,0.003105523,0.001270157,0.0006635254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858518,"about_ca_system_score_gemma":0.005525587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868974,"about_ca_topic_score_gemma":0.003441713,"domain_scores_codex":[0.9485539,0.02195987,0.01356271,0.001303178,0.01354815,0.001072218],"domain_scores_gemma":[0.8660655,0.0605996,0.01757726,0.006583299,0.04618755,0.002986843],"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":[0.00206726,0.002601249,0.3098677,0.01263311,0.0007354431,0.000857275,0.03387935,0.003427302,0.0122099,0.002955452,0.04069396,0.578072],"study_design_scores_gemma":[0.0009311054,0.007625575,0.7863261,0.006656611,0.0009540622,0.002704443,0.0187306,0.02500355,0.01369132,0.004743928,0.1316394,0.0009933524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874522,0.003002484,0.1154996,0.001977321,0.0004357275,0.06181451,0.005056681,0.001765313,0.02299618],"genre_scores_gemma":[0.7411827,0.001298285,0.1958903,0.0006014298,0.0001384933,0.05570697,0.003165987,0.0002285277,0.001787363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04222812,"threshold_uncertainty_score":0.2233263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07813281543621277,"score_gpt":0.4870110552782832,"score_spread":0.4088782398420704,"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."}}