{"id":"W2076526290","doi":"10.1017/s1368980009005564","title":"Nutrition and body weights of Canadian children watching television and eating while watching television","year":2009,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fondation pour la Recherche Médicale","keywords":"Overweight; Nova scotia; Supper; Screen time; Obesity; Medicine; Demography; Psychology; Population; Environmental health; Consumption (sociology); Advertising; Gerontology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004384562,0.0004142865,0.0003335645,0.001385074,0.001353686,0.0007480333,0.00064651,0.0003277527,0.002671574],"category_scores_gemma":[0.001685625,0.0003360371,0.0005538675,0.002381854,0.0004517667,0.0002223485,0.0004392203,0.000507043,0.0002434396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007792848,"about_ca_system_score_gemma":0.00647459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832742,"about_ca_topic_score_gemma":0.9882072,"domain_scores_codex":[0.9994931,0.000025636,0.00002169279,0.00007701806,0.0002158649,0.0001666379],"domain_scores_gemma":[0.9991477,0.00005157414,0.000263757,0.00002847589,0.0003269904,0.0001815922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003742417,0.00001561358,0.9970638,0.00001993395,0.00003175639,0.00005787277,0.0005764552,0.00003461625,0.0001438004,0.0000326718,0.0002634334,0.001722636],"study_design_scores_gemma":[0.000001156092,0.000008563996,0.9993979,0.000007032952,0.000007453284,0.00002222711,0.0002939629,0.00002879833,0.00001675908,0.000002631769,0.0002113132,0.000002172449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995421,0.0003075897,0.00004837133,0.00005867569,0.000006507724,0.00001505585,0.002760296,0.000005186797,0.001377353],"genre_scores_gemma":[0.9963179,0.0003205087,0.0001404588,0.00002751843,0.000003686244,0.00001408585,0.002019303,0.000004634728,0.001151902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672584,"threshold_uncertainty_score":0.05654132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610582705637982,"score_gpt":0.2890443595254542,"score_spread":0.2629385324690744,"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."}}