{"id":"W4389960124","doi":"10.2196/45942","title":"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":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Overweight; Randomized controlled trial; Intervention (counseling); Obesity; Mobile apps; Medicine; mHealth; Physical therapy; Gerontology; Psychology; Psychological intervention; Computer science; 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":[0.0206348,0.001661409,0.003716802,0.001643689,0.001277089,0.001446674,0.0008996611,0.001755361,0.008686742],"category_scores_gemma":[0.04172308,0.0008376166,0.003732057,0.00161227,0.001643583,0.001817761,0.001839847,0.002112404,0.0007876303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993735,"about_ca_system_score_gemma":0.003242446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002741344,"about_ca_topic_score_gemma":0.003006042,"domain_scores_codex":[0.9641684,0.02654734,0.002831153,0.002149146,0.002708755,0.001595234],"domain_scores_gemma":[0.9786856,0.01240222,0.00373587,0.001565473,0.002498197,0.001112687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8061113,0.05396547,0.02339875,0.007536906,0.009438161,0.0001585913,0.003699235,0.0007261092,0.001221428,0.000800574,0.003855263,0.08908815],"study_design_scores_gemma":[0.5312879,0.3623232,0.08647098,0.00138598,0.00667632,0.00007330373,0.001956695,0.002925234,0.0007909547,0.001140286,0.004822223,0.0001469136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8730552,0.001345753,0.004108189,0.000541149,0.0005093609,0.1140293,0.00322276,0.0001975139,0.002990927],"genre_scores_gemma":[0.6917574,0.0004433113,0.01076687,0.0007636762,0.0003005877,0.2928687,0.0009917591,0.00003410445,0.002073754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0206348,"threshold_uncertainty_score":0.1091285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368577068706853,"score_gpt":0.4318726666497535,"score_spread":0.388186895962685,"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."}}