{"id":"W4221096985","doi":"10.2196/34967","title":"Effectiveness of Mobile Apps in Promoting Healthy Behavior Changes and Preventing Obesity in Children: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Pediatrics and Parenting","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; BC Children's Hospital","keywords":"CINAHL; PsycINFO; Psychological intervention; Behavior change methods; Medicine; Health promotion; Anthropometry; Childhood obesity; MEDLINE; Behavior change; Obesity; Screen time; Meta-analysis; Intervention (counseling); mHealth; Systematic review; Promotion (chess); Gerontology; Clinical psychology; Physical activity; Physical therapy; Overweight; Public health; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01050916,0.001496413,0.007250531,0.006997722,0.000676366,0.002868112,0.001818175,0.001852745,0.003926442],"category_scores_gemma":[0.05825176,0.00118549,0.008390242,0.007234911,0.000864191,0.002538495,0.001644627,0.001612395,0.0002392232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003775792,"about_ca_system_score_gemma":0.0112999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008271735,"about_ca_topic_score_gemma":0.0216251,"domain_scores_codex":[0.98939,0.004320653,0.003233479,0.0006509153,0.002130268,0.000274685],"domain_scores_gemma":[0.9549702,0.034869,0.00681487,0.0004337843,0.002517404,0.0003947444],"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":[0.0003478894,0.00003406312,0.0009255657,0.9516187,0.010426,0.00006064832,0.0002208793,0.0000757937,0.00007580758,0.00009343024,0.0006903989,0.03543089],"study_design_scores_gemma":[0.0006996009,0.0004679858,0.006352885,0.8875406,0.09595096,0.0002546383,0.0002910807,0.0001171847,0.0001993167,0.000126095,0.007966347,0.00003321092],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002568695,0.9957216,0.0001306804,0.000208342,0.00009423453,0.0005961,0.0003176739,0.00001148364,0.0003511448],"genre_scores_gemma":[0.03174285,0.9649701,0.001131822,0.0003850166,0.0000894916,0.001367016,0.0001914241,0.000007013884,0.0001152624],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01050916,"threshold_uncertainty_score":0.05557841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0542099404922932,"score_gpt":0.437449392116135,"score_spread":0.3832394516238418,"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."}}