{"id":"W4416037323","doi":"10.1016/j.jnha.2025.100715","title":"Association between Accelerometer-derived Physical Activity-related Metabolic Signature and Stroke: A Cohort Study from UK Biobank","year":2025,"lang":"en","type":"article","venue":"The journal of nutrition health & aging","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Department of Finance of Jilin Province; People's Government of Jilin Province; Natural Science Foundation of Jilin Province","keywords":"Biobank; Association (psychology); Cohort study; Cohort; Physical activity; Stroke (engine)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001322335,0.0004652534,0.0007028734,0.0009816451,0.000577229,0.001056262,0.0005057431,0.0006913283,0.002266437],"category_scores_gemma":[0.005203495,0.0005989402,0.0005322481,0.002822015,0.0003450382,0.0006061338,0.001145813,0.0005753984,0.0007232936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544487,"about_ca_system_score_gemma":0.0005234178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841289,"about_ca_topic_score_gemma":0.03177358,"domain_scores_codex":[0.9986634,0.0003439611,0.0002511927,0.0004232712,0.0002008073,0.0001173286],"domain_scores_gemma":[0.9972982,0.0003573495,0.001175226,0.0005883342,0.0003842507,0.0001967182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004385437,0.00006135923,0.99428,0.00008601673,0.000267512,0.00019432,0.0003390474,0.00006885729,0.0006501034,0.00004516263,0.001139679,0.002429524],"study_design_scores_gemma":[0.00003285711,0.00006700715,0.9987847,0.00002818862,0.0000881864,0.0001926745,0.00009302994,0.0001398587,0.00005325951,0.00001921303,0.0004935464,0.000007532174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914785,0.0005517105,0.0005940224,0.00007406612,0.00001193139,0.00007966904,0.006750245,0.00001175557,0.0004481125],"genre_scores_gemma":[0.9914029,0.0003825982,0.0006612604,0.0001344364,0.00001682541,0.0001883817,0.006677683,0.000009317039,0.0005266141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02841289,"threshold_uncertainty_score":0.05649501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241733457011396,"score_gpt":0.301655888689819,"score_spread":0.289238554119705,"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."}}