{"id":"W2742077506","doi":"10.1177/1757975917710804","title":"Sociodemographic correlates of physical activity and screen time among adolescents in Canada and Guatemala: Results from the COMPASS system","year":2017,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Allowance (engineering); Logistic regression; Demography; Medicine; Ethnic group; Screen time; Cross-sectional study; Gerontology; Physical activity; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003306973,0.0001465251,0.0004857597,0.00001458884,0.0002444681,0.00002100744,0.0001093393,0.00006514652,4.949888e-7],"category_scores_gemma":[0.00007325704,0.0001091105,0.0000369067,0.0000788218,0.0002140959,0.0001506419,0.0001303428,0.0002598203,0.000002242612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000534507,"about_ca_system_score_gemma":0.0003291655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9179642,"about_ca_topic_score_gemma":0.7445871,"domain_scores_codex":[0.9986266,0.000246114,0.0002252373,0.0003118854,0.0003276276,0.0002624854],"domain_scores_gemma":[0.998911,0.0000881566,0.0004098971,0.000356088,0.00005972822,0.0001751646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001444352,0.001007413,0.9940051,0.0003783377,0.00002377266,0.000005581061,0.00008284547,0.000001865905,0.00002570648,0.0000637948,0.00008896594,0.004172191],"study_design_scores_gemma":[0.001600884,0.000265757,0.9838963,0.001628551,0.00003506535,0.000003045409,0.00004767112,0.01221826,0.00003517385,0.0001958384,6.513428e-7,0.00007283848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971434,0.00004310955,0.000003909431,0.00139469,0.00007235387,0.0007736425,0.0004546225,0.00001901244,0.00009523636],"genre_scores_gemma":[0.9998217,0.0000114162,0.000008098798,0.00002177342,0.00008890548,0.000005238749,0.00003214104,0.000006877505,0.000003856733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733771,"threshold_uncertainty_score":0.4449398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192043726581339,"score_gpt":0.2976638075794611,"score_spread":0.2784594349213272,"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."}}