{"id":"W3196768091","doi":"10.1016/j.appet.2021.105670","title":"Television viewing and using screens while eating: Associations with dietary intake in children and adolescents","year":2021,"lang":"en","type":"article","venue":"Appetite","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Carolina Population Center, University of North Carolina at Chapel Hill; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Comisión Nacional de Investigación Científica y Tecnológica; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Instituto Nacional de Tecnología Agropecuaria; International Development Research Centre; National Institutes of Health; Bloomberg Philanthropies; University of North Carolina Wilmington; Bloomberg Family Foundation; University of North Carolina","keywords":"Overweight; Meal; Calorie; Cohort; Obesity; Medicine; Screen time; Logistic regression; Demography; Snacking; Portion size; Psychology; Food science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001514499,0.00006331699,0.0001077035,0.00006144121,0.0002246007,0.00007978774,0.00004512636,0.00006167954,0.000007026299],"category_scores_gemma":[0.000102155,0.00006145934,0.00001044882,0.0003421935,0.00009235525,0.0001759753,0.000088377,0.00009187536,0.0000018051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682825,"about_ca_system_score_gemma":0.00005936866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003850689,"about_ca_topic_score_gemma":0.001612841,"domain_scores_codex":[0.9993817,0.00003605414,0.0001059327,0.0001808943,0.0001292858,0.0001661655],"domain_scores_gemma":[0.9997991,0.00002793471,0.00004240179,0.00005946211,0.00002878683,0.00004229982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001793893,0.00001800613,0.9859756,0.000003822046,0.000006948278,0.000003658683,0.001014688,8.208538e-7,0.00006912355,0.0006260923,0.00001250637,0.0122669],"study_design_scores_gemma":[0.0002389692,0.000009615313,0.9976492,0.0004279143,0.000004686621,0.000005412688,0.0006222868,0.00002001808,0.00003355586,0.0002973588,0.0005970606,0.00009395322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963756,0.0004395707,0.00003109973,0.0004262956,0.0000161022,0.0001048887,0.000004617057,0.00003527019,0.002566539],"genre_scores_gemma":[0.9981716,0.0002578493,0.001326544,0.0001300226,0.00002981015,0.000001055806,0.00001564006,0.000005551773,0.00006191909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217295,"threshold_uncertainty_score":0.2506239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517020884967238,"score_gpt":0.2697877069825371,"score_spread":0.2446174981328647,"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."}}