{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427539,0.00060029,0.0007066941,0.001118371,0.00157016,0.001211527,0.0008503016,0.0008065635,0.001601368],"category_scores_gemma":[0.005188522,0.0008998879,0.001676794,0.001406871,0.000481009,0.0008345966,0.001291902,0.001581364,0.0004572663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117141,"about_ca_system_score_gemma":0.001786021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439339,"about_ca_topic_score_gemma":0.03080784,"domain_scores_codex":[0.9981089,0.0004036346,0.0002217025,0.0005108773,0.0004032514,0.0003517211],"domain_scores_gemma":[0.9965926,0.0004571838,0.001267851,0.0004256416,0.0007577732,0.0004990276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005248228,0.000501453,0.9945039,0.0001338744,0.0002711816,0.0001432871,0.0005967622,0.00002736137,0.0002118458,0.00002533406,0.0003672871,0.002693004],"study_design_scores_gemma":[0.00008061976,0.001442054,0.9954216,0.00009975672,0.0002990521,0.000316659,0.001166585,0.000151431,0.0001356704,0.00001813212,0.0008480639,0.00002037895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969934,0.0003553204,0.0002637395,0.00003885086,0.00001758093,0.0004991536,0.001422807,0.000008764889,0.0004003518],"genre_scores_gemma":[0.9952772,0.0004541203,0.0008491277,0.0001336407,0.00003390153,0.00116967,0.001653305,0.00001705582,0.0004119046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02439339,"threshold_uncertainty_score":0.0485028,"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."}}