{"id":"W2510379276","doi":"10.1002/osp4.60","title":"Mediating effects of dietary intake on associations of TV viewing, body mass index and metabolic syndrome in adolescents","year":2016,"lang":"en","type":"article","venue":"Obesity Science & Practice","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research","keywords":"Medicine; Body mass index; Mediation; National Health and Nutrition Examination Survey; Metabolic syndrome; Screen time; Psychological intervention; Environmental health; Obesity; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002045216,0.0006488245,0.0006170298,0.0005237567,0.0003088503,0.001004621,0.0005201552,0.0003330873,0.002406112],"category_scores_gemma":[0.006708183,0.0004687559,0.0009902815,0.0004670582,0.0003208438,0.0003786577,0.0009300727,0.0007680928,0.0001274287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720898,"about_ca_system_score_gemma":0.0007596923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007846321,"about_ca_topic_score_gemma":0.008132109,"domain_scores_codex":[0.9991539,0.0005034072,0.00004450052,0.0001048697,0.0001024478,0.00009094864],"domain_scores_gemma":[0.9964444,0.002210954,0.0006488474,0.0002052612,0.0002382735,0.0002522701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354834,0.00007174905,0.994458,0.00004819512,0.000484201,0.0000845308,0.0002797859,0.0001043999,0.000314805,0.0001576207,0.0000972057,0.003763973],"study_design_scores_gemma":[0.00001533598,0.0001035318,0.9976863,0.00005538716,0.0004384384,0.00008002525,0.0002695777,0.0005925942,0.0002029062,0.0002512889,0.000298814,0.000005937204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970108,0.001365417,0.0003215739,0.000210805,0.0000180016,0.0000178831,0.0002739815,0.00001031466,0.000771259],"genre_scores_gemma":[0.9984316,0.0006142652,0.0004957649,0.00004601849,0.00002095946,0.00002612171,0.0001673005,0.000004678204,0.0001933508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007846321,"threshold_uncertainty_score":0.01560134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167645802501035,"score_gpt":0.3008653408494475,"score_spread":0.284100760599344,"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."}}