{"id":"W4393556424","doi":"10.2196/58507","title":"Correction: Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study","year":2024,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Randomized controlled trial; Intervention (counseling); Mobile apps; mHealth; Computer science; Medicine; Obesity; Psychology; Psychological intervention; World Wide Web; Nursing; Internal medicine","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":[0.03905008,0.003690249,0.003960498,0.004814934,0.004009644,0.005487955,0.005109985,0.009553085,0.07867179],"category_scores_gemma":[0.4153666,0.00208277,0.00439495,0.0051509,0.003258036,0.003099855,0.002646123,0.01255032,0.02148812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01056233,"about_ca_system_score_gemma":0.02633172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06101425,"about_ca_topic_score_gemma":0.07459057,"domain_scores_codex":[0.9552283,0.0150623,0.009872709,0.003431429,0.01459761,0.001807671],"domain_scores_gemma":[0.7558224,0.1179919,0.01323452,0.010124,0.09791046,0.004916612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.000205394,0.00001621889,0.0001417433,0.00111275,0.00008785307,0.0001046578,0.00007312061,0.00004114015,0.00002414545,0.0006123664,0.9926467,0.004933921],"study_design_scores_gemma":[0.002970524,0.0002859516,0.004681096,0.01368935,0.001596913,0.0005578834,0.0004662037,0.001120741,0.0007457804,0.005894342,0.9676651,0.0003260731],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0003282585,0.001688713,0.001595955,0.1061049,0.8748392,0.0004745455,0.01167126,0.0007979737,0.002499271],"genre_scores_gemma":[0.03399647,0.01162792,0.02374173,0.4461743,0.2876254,0.0131565,0.01099479,0.004691402,0.1679914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07867179,"threshold_uncertainty_score":0.2631834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04574754319564656,"score_gpt":0.4714246350031406,"score_spread":0.425677091807494,"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."}}