{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001629361,0.0001604493,0.0005357206,0.0002831377,0.000105503,0.00001835927,0.0002308913,0.00008065143,0.000005349908],"category_scores_gemma":[0.01140629,0.0001215976,0.00006263687,0.001024488,0.000417196,0.001320146,0.0001743229,0.000307938,0.00001541396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140013,"about_ca_system_score_gemma":0.0001900728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946708,"about_ca_topic_score_gemma":0.0000317599,"domain_scores_codex":[0.9976161,0.0002353213,0.0003383468,0.000415861,0.001043742,0.0003506181],"domain_scores_gemma":[0.9974051,0.001297782,0.0005127891,0.0003534507,0.0002472546,0.000183596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003475508,0.003814954,0.9110845,0.0001916253,0.0000254663,0.0000270934,0.0002026349,0.000001150125,0.08266252,0.0003868898,0.000002820646,0.001565598],"study_design_scores_gemma":[0.0009865339,0.0004250956,0.9699163,0.0007046512,0.0001342867,0.00001216157,0.00006458088,0.00009030724,0.0272098,0.0003254607,0.00001552271,0.0001153114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980932,0.0001130333,0.00003310328,0.0006410121,0.0001354665,0.0004049868,0.000007756981,0.00001979451,0.0005516696],"genre_scores_gemma":[0.999317,0.00008530751,0.0003308813,0.000191785,0.00003685103,0.000007680633,9.478463e-7,0.0000107569,0.00001876537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0588318,"threshold_uncertainty_score":0.9969211,"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."}}