{"id":"W3088928342","doi":"10.2196/20353","title":"New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Checklist; Heuristic evaluation; Heuristics; Computer science; Set (abstract data type); Health care; Heuristic; Medicine; Psychology; Nursing; Human–computer interaction; Psychological intervention; Artificial intelligence","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":[0.05327926,0.001714371,0.001609313,0.005740092,0.001572494,0.002462975,0.002319779,0.001341881,0.001764232],"category_scores_gemma":[0.1402624,0.0009551061,0.003462058,0.002998836,0.001504106,0.002456344,0.003290783,0.001886567,0.000674545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003992287,"about_ca_system_score_gemma":0.01318541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020874,"about_ca_topic_score_gemma":0.008184321,"domain_scores_codex":[0.930729,0.03674403,0.0145586,0.001684216,0.01500494,0.001279164],"domain_scores_gemma":[0.7960078,0.1187271,0.01384951,0.008760621,0.0605217,0.002133245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001409951,0.002878209,0.0430297,0.0229436,0.0005536421,0.0008661033,0.03120792,0.006151009,0.01306372,0.008643863,0.05127234,0.81798],"study_design_scores_gemma":[0.003232823,0.01359788,0.2478348,0.04050254,0.002614372,0.005396902,0.04601102,0.04793685,0.05089547,0.01996767,0.5196297,0.002379909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.367062,0.007319541,0.4256573,0.00473763,0.001439393,0.1551171,0.007564509,0.0038393,0.02726325],"genre_scores_gemma":[0.1147959,0.001770167,0.824737,0.0006563043,0.00008381384,0.05220467,0.002759846,0.0002635377,0.002728715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05327926,"threshold_uncertainty_score":0.2817711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2082455925245948,"score_gpt":0.5082231477468482,"score_spread":0.2999775552222533,"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."}}