{"id":"W2066746073","doi":"10.1016/j.jneb.2007.09.014","title":"Use of Text Messaging for Monitoring Sugar-sweetened Beverages, Physical Activity, and Screen Time in Children: A Pilot Study","year":2008,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":220,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Mental Health; Alexander von Humboldt-Stiftung; University of North Carolina at Chapel Hill; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; American Friends of the Alexander von Humboldt Foundation","keywords":"Screen time; Attrition; Short Message Service; Intervention (counseling); Medicine; Descriptive statistics; Randomized controlled trial; Mobile phone; Phone; Physical activity; Psychology; Physical therapy; Nursing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003630647,0.0001007264,0.0003130987,0.0002712084,0.0003625964,0.000007847725,0.00005586634,0.00005203163,0.00001006357],"category_scores_gemma":[0.00007267539,0.00009409428,0.0000325001,0.0001734179,0.00003794131,0.0002444858,0.0000213155,0.0003177717,0.000001177713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009272867,"about_ca_system_score_gemma":0.0004223592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003245632,"about_ca_topic_score_gemma":0.00001572141,"domain_scores_codex":[0.998769,0.0001899872,0.0005263907,0.0001474919,0.0001659778,0.0002011223],"domain_scores_gemma":[0.9985343,0.000305197,0.0005178288,0.0001110521,0.0003197824,0.0002118654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001984634,0.02171193,0.9502907,0.0001852132,0.00001080738,7.568565e-7,0.001091015,5.618576e-7,0.003957005,0.00003640922,0.0008501426,0.02166696],"study_design_scores_gemma":[0.002352838,0.0009824123,0.9947313,0.0002434044,0.0000731224,0.00003453358,0.0009069408,0.00001138781,0.0001302292,0.0000372679,0.0004255127,0.00007107054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958366,0.0002237521,0.00002963522,0.0006398102,0.0001384893,0.003087138,0.00002755742,0.000008263538,0.000008811203],"genre_scores_gemma":[0.9955174,0.0006060264,0.001355653,0.00006518276,0.0004231586,0.001901019,0.00001102869,0.0000137774,0.0001067605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04444055,"threshold_uncertainty_score":0.3837053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09889008816979343,"score_gpt":0.4370599621076846,"score_spread":0.3381698739378912,"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."}}