{"id":"W2968488983","doi":"10.2196/14458","title":"Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Health coaching; Coaching; Body mass index; Percentile; Medicine; mHealth; Cohort; Behavior change; Weight management; Cohort study; Gerontology; Psychology; Physical therapy; Psychological intervention; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003524405,0.0005029832,0.001638888,0.0004245421,0.0011583,0.00001716186,0.0001209561,0.0002560764,0.00006061878],"category_scores_gemma":[0.00006982595,0.0004109152,0.00007206442,0.0004584014,0.0002273214,0.0001613473,0.0001695618,0.001239158,0.000004819591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005683473,"about_ca_system_score_gemma":0.002110557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166855,"about_ca_topic_score_gemma":0.0007041015,"domain_scores_codex":[0.9929941,0.001453039,0.001882073,0.001113271,0.0005961789,0.001961321],"domain_scores_gemma":[0.994514,0.0005617335,0.001585821,0.0007367266,0.0002174499,0.00238421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005097479,0.002878129,0.9396353,0.005463267,0.0000474979,9.118971e-7,0.006457992,0.000001131419,0.000005965198,0.0006045736,0.0001479353,0.04424758],"study_design_scores_gemma":[0.004630921,0.01352249,0.9782807,0.0004955628,0.0001564575,0.000003670547,0.001631119,0.000315884,0.000001374011,0.00003301497,0.000680252,0.0002485896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475325,0.004462189,0.000006066378,0.0003198802,0.000161315,0.0467543,0.0005451466,0.0001150171,0.0001036313],"genre_scores_gemma":[0.9559747,0.00998389,0.0003761478,0.001002591,0.000134894,0.03231041,0.0001310321,0.00006465766,0.00002170768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04399899,"threshold_uncertainty_score":0.9998343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09654524361676889,"score_gpt":0.4836934831824097,"score_spread":0.3871482395656408,"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."}}