{"id":"W2109334713","doi":"10.1161/01.str.0000135226.53499.85","title":"Stroke Risk Profile Predicts White Matter Hyperintensity Volume","year":2004,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":487,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Medicine; Framingham Risk Score; Hyperintensity; Framingham Heart Study; Cardiology; Stroke (engine); Cohort; Internal medicine; Dementia; Offspring; Disease; Magnetic resonance imaging; Radiology","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":[0.0004659313,0.0002821562,0.0002093307,0.0007093614,0.0001646136,0.0004299556,0.0002124826,0.0003788623,0.002195231],"category_scores_gemma":[0.00375181,0.0001211902,0.0002220887,0.0004429857,0.0001982766,0.0001885404,0.0002589821,0.0003568864,0.0003717958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061179,"about_ca_system_score_gemma":0.0001535153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009982279,"about_ca_topic_score_gemma":0.001131946,"domain_scores_codex":[0.9998251,0.00006230034,0.00002456203,0.00003393425,0.00003131096,0.00002280494],"domain_scores_gemma":[0.9977302,0.0006551484,0.001095475,0.0001115901,0.0001675453,0.0002400193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001424316,0.00003780495,0.9964215,0.00001022099,0.00004879157,0.0001004736,0.00002033782,0.0001004651,0.0004393114,0.00002600126,0.0000699768,0.002582861],"study_design_scores_gemma":[0.000003263041,0.00006901263,0.9990007,0.000006102479,0.00002610977,0.00032082,0.00001690998,0.0002930295,0.0001187284,0.00007878702,0.00006437815,0.000002081633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984584,0.000362435,0.0001805462,0.00006266697,0.000005999742,0.000004701802,0.0001321455,0.0000079417,0.000785167],"genre_scores_gemma":[0.9993616,0.00008896492,0.0001500442,0.00001278913,0.00001875874,0.000002965984,0.0001945561,0.000001641846,0.0001686397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002195231,"threshold_uncertainty_score":0.007343829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040099130682045,"score_gpt":0.2622731613416655,"score_spread":0.251872170034845,"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."}}