{"id":"W3138081264","doi":"10.2196/26471","title":"Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inter-rater reliability; Mobile apps; Reliability (semiconductor); App store; Psychology; Quality (philosophy); Applied psychology; mHealth; Android (operating system); Computer science; Health care; Rating scale; World Wide Web; Psychiatry; Developmental 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":[0.0972342,0.0008834174,0.001578051,0.004831295,0.001425244,0.001975405,0.001292817,0.0009587539,0.0007938263],"category_scores_gemma":[0.2306165,0.000845915,0.00159561,0.002315797,0.003313826,0.002093387,0.00504239,0.001094658,0.0004679185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611786,"about_ca_system_score_gemma":0.003430582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370577,"about_ca_topic_score_gemma":0.00449977,"domain_scores_codex":[0.8896078,0.06041261,0.01476327,0.009152011,0.02400508,0.002059204],"domain_scores_gemma":[0.6810035,0.1740156,0.02444047,0.01646806,0.1009892,0.003083184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002428157,0.0006222636,0.647954,0.004057964,0.001608107,0.0007165199,0.2018221,0.002064019,0.01041739,0.002125219,0.004301129,0.1218831],"study_design_scores_gemma":[0.0004379378,0.003744467,0.8415921,0.002126054,0.001431179,0.002775665,0.07968873,0.0231777,0.01745529,0.00443519,0.02250849,0.00062727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574733,0.001098436,0.03395635,0.0002108136,0.0002132508,0.00282472,0.0004629148,0.0001996762,0.003560423],"genre_scores_gemma":[0.9673431,0.0003566798,0.02744625,0.00009900646,0.00005161573,0.003605645,0.000389774,0.00007805324,0.0006297247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0972342,"threshold_uncertainty_score":0.5142298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1838871689725804,"score_gpt":0.5702657232748822,"score_spread":0.3863785543023018,"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."}}