{"id":"W2006051043","doi":"10.1016/j.jneb.2008.03.025","title":"O13: Association Between Toddler Mealtime Television Viewing, Mealtime Interaction, and Dietary Consumption in Low-Income African American and White Families","year":2008,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Toddler; Association (psychology); White (mutation); Consumption (sociology); Psychology; Low income; African american; Environmental health; Medicine; Developmental psychology; Art; Socioeconomics; Sociology; Biology","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":[0.0003926157,0.0003353813,0.0002744554,0.0006271322,0.0008130264,0.0005677947,0.0003553748,0.0004022051,0.005439007],"category_scores_gemma":[0.00157705,0.0002888826,0.0004218669,0.0006964806,0.0002487003,0.0003273923,0.00043869,0.0005722711,0.0002480668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265366,"about_ca_system_score_gemma":0.0003767727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05376077,"about_ca_topic_score_gemma":0.04615774,"domain_scores_codex":[0.9997987,0.0000478589,0.00002009488,0.00005095078,0.00002161567,0.00006072632],"domain_scores_gemma":[0.9990582,0.0002408709,0.0002828313,0.00004019358,0.00009434593,0.0002836202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002736278,0.00006382313,0.9979711,0.000004036724,0.00003913806,0.0001072242,0.0002320759,0.00001087215,0.0004969105,0.00002035339,0.0000789289,0.0007018623],"study_design_scores_gemma":[0.000004164211,0.00006611348,0.99884,0.000004288054,0.00002046395,0.0001433047,0.0006944434,0.00005822981,0.00008675225,0.000009899205,0.00007000124,0.000002437123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995515,0.00003477902,0.00001620299,0.00001746707,0.000003272639,0.000001369868,0.0001582298,0.000001425549,0.0002158376],"genre_scores_gemma":[0.9992107,0.00003406672,0.00006852936,0.00001949129,0.000004080592,0.000005570337,0.0002045244,0.000002969951,0.0004501405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05376077,"threshold_uncertainty_score":0.1068957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031627736190559,"score_gpt":0.3300193715884214,"score_spread":0.2983916353978624,"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."}}