{"id":"W4417297185","doi":"10.2196/65538","title":"Obesity Prevention and Reduction in China Using the Social Media Platform WeChat: Scoping Review","year":2025,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Social media; Narrative review; mHealth; Intervention (counseling); Formative assessment; China; Payment","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":[0.009699216,0.001711827,0.005574988,0.01718562,0.001610067,0.003436279,0.002124373,0.002307567,0.004856975],"category_scores_gemma":[0.02501457,0.0007613422,0.004968394,0.01612581,0.001239498,0.002666919,0.002095998,0.0009586488,0.000335798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004928271,"about_ca_system_score_gemma":0.03420037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213416,"about_ca_topic_score_gemma":0.03159248,"domain_scores_codex":[0.9948201,0.001268869,0.002079127,0.0004273331,0.001147951,0.0002565722],"domain_scores_gemma":[0.9894582,0.006121332,0.00197056,0.0002382233,0.001962362,0.0002493863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001341295,0.00007275463,0.001450024,0.7862423,0.002240181,0.0001178,0.0005229339,0.0002464863,0.0003064805,0.0009003198,0.004603284,0.2031633],"study_design_scores_gemma":[0.0001507869,0.0002471718,0.008478749,0.9262097,0.01833319,0.0002511835,0.0006414938,0.0002614497,0.0003929274,0.0006158493,0.04436139,0.00005608976],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001423581,0.9956846,0.0002116534,0.0005954415,0.0002257316,0.0006033084,0.0003235057,0.00001770665,0.0009143791],"genre_scores_gemma":[0.009381551,0.9881414,0.0005641638,0.0005308756,0.0001030754,0.0008567465,0.0002358472,0.000005915597,0.0001804205],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02213416,"threshold_uncertainty_score":0.05129492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.221453375132872,"score_gpt":0.6418765254223301,"score_spread":0.4204231502894581,"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."}}