{"id":"W4414902741","doi":"10.2196/66339","title":"Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Dietary Effects on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Reliability (semiconductor); Quality (philosophy); Mobile apps; Content analysis; Mobile device; Health care; Social media; Mobile phone","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":[0.04547197,0.0007102228,0.00170297,0.009461944,0.001391939,0.001709008,0.000926226,0.0004866224,0.001172782],"category_scores_gemma":[0.08629744,0.0004838963,0.002304483,0.00630963,0.001422988,0.002129585,0.002110074,0.000561654,0.0001864086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929759,"about_ca_system_score_gemma":0.006826153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005607194,"about_ca_topic_score_gemma":0.009710021,"domain_scores_codex":[0.9789347,0.006913106,0.005383922,0.001032997,0.007242414,0.0004928917],"domain_scores_gemma":[0.887252,0.0615668,0.01434007,0.002997462,0.03277586,0.001067825],"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":[0.002959087,0.001268372,0.3564745,0.06365314,0.001836021,0.0008955384,0.07076798,0.0008052742,0.00839699,0.001040284,0.004043715,0.4878591],"study_design_scores_gemma":[0.0008204423,0.005330275,0.8933341,0.0193697,0.006821327,0.0007835606,0.03628525,0.005583984,0.009380998,0.0009087399,0.02091416,0.0004673275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724876,0.006632361,0.003804194,0.0003825115,0.0000675917,0.01109251,0.001936044,0.0001021758,0.003494992],"genre_scores_gemma":[0.9614767,0.005244542,0.01615335,0.0002890266,0.00007346553,0.01419628,0.001727829,0.00005143856,0.0007874706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04547197,"threshold_uncertainty_score":0.2404817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456235064484209,"score_gpt":0.5180752098126236,"score_spread":0.3724517033642026,"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."}}