{"id":"W4213451408","doi":"10.2196/33725","title":"Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Inter-rater reliability; Cronbach's alpha; Psychology; mHealth; Convergent validity; Intraclass correlation; Reliability (semiconductor); Rating scale; Concurrent validity; Scale (ratio); App store; Quality of life (healthcare); Clinical psychology; Applied psychology; Computer science; Psychometrics; Developmental psychology; Psychological intervention; Psychiatry; Internal consistency; Geography; World Wide Web; Cartography; Psychotherapist","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":[0.01072166,0.0008508863,0.0009379855,0.002414132,0.001079287,0.001129874,0.0009643583,0.0006158295,0.003876985],"category_scores_gemma":[0.01890919,0.0005154685,0.001486338,0.00196525,0.0007569011,0.001353515,0.001964266,0.001121655,0.002162877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007546807,"about_ca_system_score_gemma":0.003530019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005983041,"about_ca_topic_score_gemma":0.0127661,"domain_scores_codex":[0.9924777,0.001931655,0.00205163,0.0005602423,0.002777519,0.0002012177],"domain_scores_gemma":[0.9850679,0.001849744,0.001432012,0.0006656399,0.01056348,0.0004211931],"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":[0.001173896,0.001412713,0.3054181,0.005969107,0.0006451719,0.0009978914,0.01309995,0.000971143,0.01786254,0.002462479,0.03689864,0.6130884],"study_design_scores_gemma":[0.0004349902,0.001978173,0.8991092,0.001689171,0.0007753751,0.003321923,0.003488201,0.004396101,0.003713243,0.001130154,0.07971075,0.0002526242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521018,0.01184839,0.06902394,0.002830118,0.001376437,0.0147549,0.01101999,0.0008498147,0.0361946],"genre_scores_gemma":[0.6372045,0.01060005,0.2937731,0.001337769,0.0005312907,0.02549258,0.01683851,0.0003981821,0.01382399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072166,"threshold_uncertainty_score":0.0567022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717484537349166,"score_gpt":0.4116781016923043,"score_spread":0.3645032563188127,"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."}}