{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003768731,0.0003813661,0.0003742203,0.0009720234,0.0004813115,0.001212738,0.0003018927,0.0007913227,0.002960219],"category_scores_gemma":[0.001711948,0.0005321851,0.001148451,0.001438911,0.0003764478,0.00052745,0.0006214065,0.001244357,0.0003390811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478253,"about_ca_system_score_gemma":0.0004263568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03359237,"about_ca_topic_score_gemma":0.04870076,"domain_scores_codex":[0.9997486,0.00004997543,0.00003543782,0.00005544298,0.00005055652,0.00005999752],"domain_scores_gemma":[0.9981915,0.000461309,0.0007862154,0.00006766633,0.0001558426,0.00033743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008553065,0.00008238057,0.9982017,0.00001716421,0.00006889722,0.00007155778,0.000276687,0.00002030288,0.0002465367,0.00001695263,0.00004257088,0.000869642],"study_design_scores_gemma":[0.000001316723,0.00003738769,0.999267,0.000005862675,0.00002115701,0.00006426133,0.0004556871,0.00003611705,0.00003030937,0.000004963796,0.00007334137,0.000002558313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998652,0.0004006066,0.00001960216,0.00005082474,0.000007890578,0.000003980039,0.0003153016,0.000003366614,0.0005464528],"genre_scores_gemma":[0.9983894,0.0004738772,0.0001055647,0.00003294254,0.00001055561,0.00001018175,0.000371277,0.000004350952,0.0006019662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03359237,"threshold_uncertainty_score":0.06679368,"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."}}