{"id":"W3195669280","doi":"10.1161/strokeaha.121.034985","title":"Association Between Excess Leisure Sedentary Time and Risk of Stroke in Young Individuals","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Physical Activity and Health","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Stroke (engine); Quartile; Hazard ratio; Cohort; Proportional hazards model; Cohort study; Demography; Mood; Sedentary lifestyle; Physical therapy; Gerontology; Internal medicine; Physical activity; Confidence interval; Psychiatry","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":[0.0004247117,0.0002319492,0.0002209541,0.0007981791,0.0003936925,0.0004655067,0.000369772,0.0002977443,0.001296243],"category_scores_gemma":[0.001590991,0.0001657007,0.0004135471,0.0008987268,0.0002392202,0.0001336792,0.0002633455,0.000423226,0.0001288464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009275993,"about_ca_system_score_gemma":0.001392858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2712217,"about_ca_topic_score_gemma":0.3830818,"domain_scores_codex":[0.9996977,0.00004167781,0.00002756674,0.00005821927,0.0000992001,0.00007572613],"domain_scores_gemma":[0.9988783,0.0001199036,0.0004071365,0.00005728519,0.0002791071,0.0002582688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006390435,0.00001053636,0.9983296,0.00001440687,0.00009456302,0.00002363622,0.00002187217,0.00003363225,0.00007999418,0.000008894092,0.00008809529,0.001230883],"study_design_scores_gemma":[0.0000013114,0.00001137917,0.9997801,0.000004697631,0.0000182872,0.00003196772,0.00001733499,0.00006040348,0.00000885247,0.000009342149,0.00005520214,0.000001202576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966524,0.001142851,0.0001408748,0.00009944324,0.00001560858,0.000008949823,0.001087217,0.00001185469,0.0008407963],"genre_scores_gemma":[0.9987513,0.0002808154,0.0001009368,0.00002125594,0.00001052997,0.000003867161,0.0006554412,0.000001567937,0.0001743054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2712217,"threshold_uncertainty_score":0.539286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897739264482405,"score_gpt":0.2950911937577697,"score_spread":0.2761138011129456,"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."}}