{"id":"W4387412621","doi":"10.2196/50226","title":"The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; Anhui Medical University","keywords":"Weight management; mHealth; App store; Self-management; Smartphone app; Android (operating system); Social media; Computer science; World Wide Web; Medicine; Weight loss; Obesity; Psychological intervention; Nursing","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":[0.001413273,0.0004427499,0.0003840815,0.005805986,0.0005051076,0.0008820095,0.0003544852,0.0002436753,0.001473294],"category_scores_gemma":[0.00534282,0.0001940588,0.000751379,0.004164743,0.0003669597,0.0009734366,0.0007331951,0.0002867305,0.0003285789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007297658,"about_ca_system_score_gemma":0.001204977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554831,"about_ca_topic_score_gemma":0.02567701,"domain_scores_codex":[0.9990403,0.00008901439,0.0002091341,0.0001235666,0.0004400449,0.00009791023],"domain_scores_gemma":[0.9950662,0.001387924,0.001515034,0.00015647,0.001673891,0.0002005592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001988851,0.00009543227,0.9228047,0.0009465527,0.00009525661,0.0004678283,0.00520824,0.00008043004,0.002118319,0.0001081651,0.001065406,0.06681076],"study_design_scores_gemma":[0.000005176822,0.00007076029,0.9960662,0.00008441176,0.00007478553,0.0001969656,0.001621286,0.0004242254,0.0004521394,0.00003210016,0.0009583436,0.00001374177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955936,0.0006721441,0.0002724119,0.00007301394,0.000007375553,0.000202646,0.001763814,0.00002983282,0.001385196],"genre_scores_gemma":[0.9938676,0.0008855241,0.001845739,0.00005170706,0.00001373365,0.0002751273,0.002045746,0.00001383183,0.001000966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554831,"threshold_uncertainty_score":0.03091562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0924056917662349,"score_gpt":0.498877087725529,"score_spread":0.4064713959592942,"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."}}