{"id":"W2109031474","doi":"10.2196/mhealth.3422","title":"Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2480,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Young and Well Cooperative Research Centre; Australian Government","keywords":"Rating scale; Inter-rater reliability; App store; Reliability (semiconductor); Scale (ratio); Quality (philosophy); Computer science; Mobile apps; Intraclass correlation; Checklist; World Wide Web; Psychology; Statistics; Psychometrics; Clinical psychology; Mathematics","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":[0.0183518,0.001142512,0.001499767,0.01326704,0.0006303291,0.002224482,0.001415858,0.001185807,0.006081112],"category_scores_gemma":[0.08337763,0.0005759826,0.002818837,0.005741954,0.0007003306,0.00368293,0.002807403,0.001714311,0.002018955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023671,"about_ca_system_score_gemma":0.001669278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204485,"about_ca_topic_score_gemma":0.00286009,"domain_scores_codex":[0.9702098,0.01029611,0.006321668,0.001070055,0.01172606,0.0003762939],"domain_scores_gemma":[0.8887843,0.05901828,0.0195253,0.003290635,0.02762973,0.001751693],"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":[0.001909882,0.0006464162,0.19054,0.01257345,0.001731022,0.000518784,0.007026662,0.001400616,0.005820784,0.004167551,0.04976614,0.7238988],"study_design_scores_gemma":[0.0008892956,0.004410567,0.7497618,0.008694001,0.00191564,0.004843919,0.007502878,0.01078676,0.005384669,0.009547061,0.1954354,0.0008280199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5132498,0.04829837,0.2442755,0.005668854,0.002552737,0.02607555,0.05239907,0.00529906,0.1021813],"genre_scores_gemma":[0.6064276,0.01551805,0.3294633,0.001709724,0.001001375,0.02358893,0.01384743,0.0003606367,0.008082997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0183518,"threshold_uncertainty_score":0.09705478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1948894787119575,"score_gpt":0.5521132328001254,"score_spread":0.3572237540881679,"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."}}