{"id":"W2094949899","doi":"10.1016/j.pmedr.2015.04.003","title":"Screen time is associated with dietary intake in overweight Canadian children","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université Laval; McGill University Health Centre; Université de Montréal; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Overweight; Screen time; Body mass index; Medicine; Percentile; Interquartile range; Obesity; Demography; Gerontology; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004007358,0.0003945103,0.0004286046,0.001379736,0.001125613,0.0008973739,0.0007929645,0.0004206739,0.002579493],"category_scores_gemma":[0.001963284,0.0003542428,0.0007908428,0.003256448,0.0004255155,0.0002474857,0.0004704068,0.0006071314,0.0002148591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006986092,"about_ca_system_score_gemma":0.008503291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9737477,"about_ca_topic_score_gemma":0.9752012,"domain_scores_codex":[0.9992515,0.00003434219,0.00003570723,0.0001158844,0.000361786,0.0002007524],"domain_scores_gemma":[0.998683,0.00007911329,0.0005676873,0.00003427136,0.0004351107,0.0002008321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004048356,0.00001314408,0.997532,0.00001982617,0.00003755045,0.00003586528,0.0001735792,0.00003446168,0.000137807,0.00002593076,0.0002837495,0.001665603],"study_design_scores_gemma":[0.000001501218,0.000006611965,0.9995418,0.00001147734,0.00001194108,0.00002938753,0.0001139198,0.00005233256,0.00001750941,0.000004380335,0.0002064106,0.000002804516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927477,0.001311155,0.000110394,0.000219279,0.00001262262,0.00001764421,0.003396556,0.00001326101,0.002171426],"genre_scores_gemma":[0.996033,0.0007815957,0.0002719064,0.00005002978,0.000006949329,0.00001353618,0.002067508,0.000008889464,0.0007663993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02625227,"threshold_uncertainty_score":0.05281371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803251721739007,"score_gpt":0.2611250992491773,"score_spread":0.2430925820317872,"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."}}