{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006702912,0.0001677323,0.0007313826,0.0007631038,0.0001529938,0.00001045405,0.00005907825,0.00008805703,0.0000172483],"category_scores_gemma":[0.0005231579,0.0001394907,0.00007553542,0.001407271,0.00009926709,0.00007291425,0.00004257847,0.0002493767,9.334285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003990002,"about_ca_system_score_gemma":0.001211226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001859687,"about_ca_topic_score_gemma":0.001800799,"domain_scores_codex":[0.9969133,0.0007207625,0.001004923,0.0004408394,0.000608792,0.0003113895],"domain_scores_gemma":[0.9979228,0.0004949094,0.0003601833,0.0003928003,0.0005286424,0.0003006658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448439,0.0004974446,0.7492977,0.003329131,0.0001415429,2.705192e-7,0.001509608,0.0001617424,0.00007592113,0.0004542889,0.00002570496,0.2443618],"study_design_scores_gemma":[0.002088787,0.0003263538,0.9674597,0.0001724891,0.001157596,0.000001342038,0.001575301,0.0268043,0.000005295357,0.0002830869,0.00004939902,0.00007636753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876892,0.005195531,0.00102811,0.001430648,0.00005541854,0.004051914,0.00003422716,0.00003534325,0.0004796107],"genre_scores_gemma":[0.9970216,0.0005999414,0.0004003175,0.0005393763,0.00003229532,0.001229502,0.0001178721,0.000008763218,0.00005039296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442855,"threshold_uncertainty_score":0.5688264,"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."}}