{"id":"W3023422824","doi":"10.1016/j.jneb.2015.04.288","title":"Fighting Obesity Among Low-Income 9-14 Year Olds: A Home-Based Intervention Using Mobile Phones to Deliver Customized Nutrition Outreach","year":2015,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Usability; Outreach; Mobile phone; Intervention (counseling); Anthropometry; Obesity; Medicine; Phone; Formative assessment; Randomized controlled trial; Test (biology); Childhood obesity; Gerontology; Psychology; Environmental health; Overweight; Nursing; Engineering; Computer science; Economic growth","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":[0.0003845732,0.0005144841,0.0004608141,0.0004821932,0.001479158,0.0004523165,0.0006379666,0.0007233653,0.005169425],"category_scores_gemma":[0.0005405124,0.0003639828,0.0007484116,0.0002291112,0.0002177615,0.0003101477,0.000801207,0.0009895891,0.0005076042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309143,"about_ca_system_score_gemma":0.001135912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524921,"about_ca_topic_score_gemma":0.03044623,"domain_scores_codex":[0.9998398,0.00003119426,0.000009061377,0.00002967676,0.00002359775,0.00006670639],"domain_scores_gemma":[0.9997255,0.00003140104,0.00002345403,0.000008863999,0.00002327083,0.000187428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01174641,0.4088854,0.1406789,0.001173739,0.0005112326,0.001663403,0.005324314,0.0004050463,0.01854633,0.0002322747,0.0072393,0.4035936],"study_design_scores_gemma":[0.009249739,0.08445156,0.8861482,0.0004486108,0.001011187,0.0004701423,0.007422419,0.001388029,0.003416467,0.0001357767,0.005784048,0.00007388328],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982136,0.0000849686,0.0001010119,0.0001692755,0.00006169717,0.0003689208,0.00006607939,0.0000287964,0.0009057173],"genre_scores_gemma":[0.9904203,0.0006009192,0.003197428,0.0004560932,0.0001076203,0.0008578188,0.0002359177,0.000007546364,0.00411625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524921,"threshold_uncertainty_score":0.03032094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386782662455728,"score_gpt":0.4183475411756558,"score_spread":0.3744797145510985,"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."}}