{"id":"W3012492526","doi":"10.1186/s12966-020-00925-8","title":"Sedentary behaviour surveillance in Canada: trends, challenges and lessons learned","year":2020,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Physical Activity and Health","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Comparability; Screen time; Affect (linguistics); Leisure time; Sedentary lifestyle; Medicine; Reading (process); Sedentary behavior; Demography; Geography; Physical activity; Gerontology; Psychology; Physical therapy; Political science","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":[0.01917983,0.001052946,0.001388506,0.00554856,0.004537506,0.005366288,0.004897935,0.001770751,0.001439395],"category_scores_gemma":[0.03034686,0.0005552343,0.001290948,0.01219644,0.002328605,0.0032595,0.002292519,0.003406479,0.000321802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0632886,"about_ca_system_score_gemma":0.1973128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924331,"about_ca_topic_score_gemma":0.9917292,"domain_scores_codex":[0.9881373,0.002153059,0.001213557,0.001279527,0.005175595,0.002041059],"domain_scores_gemma":[0.9405254,0.005067437,0.002093378,0.00101641,0.04545062,0.005846814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001990822,0.0001427016,0.4069224,0.005202073,0.0003198874,0.0005048792,0.007729157,0.002149556,0.0008465563,0.002818347,0.07147985,0.5016856],"study_design_scores_gemma":[0.00005237191,0.0002784497,0.8454733,0.01275823,0.0003600174,0.0004403355,0.0193911,0.006484694,0.0007303084,0.002776669,0.111021,0.0002334631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2190555,0.2315428,0.02092368,0.4666131,0.004013989,0.001351123,0.0232511,0.001523376,0.03172521],"genre_scores_gemma":[0.7237247,0.1702706,0.05490251,0.0274451,0.001635129,0.0009007915,0.01570094,0.0003033029,0.00511696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0632886,"threshold_uncertainty_score":0.4591931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146431956945157,"score_gpt":0.3924223720275786,"score_spread":0.2459904150824216,"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."}}