{"id":"W2140771515","doi":"10.1161/strokeaha.114.007146","title":"Relationship Between White Matter Hyperintensities, Cortical Thickness, and Cognition","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Internationale Stichting Alzheimer Onderzoek","keywords":"Medicine; Hyperintensity; Cognition; White matter; Leukoaraiosis; Stroke (engine); Cardiology; Neuroscience; Magnetic resonance imaging; Radiology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268584,0.0003960712,0.0001920311,0.0008638684,0.0002288191,0.0003733423,0.0002146179,0.0003002895,0.001774097],"category_scores_gemma":[0.002338884,0.0001723032,0.0001830267,0.0005421328,0.0003819354,0.0003032624,0.0002583656,0.000334247,0.0001292888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197905,"about_ca_system_score_gemma":0.0001671995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002619038,"about_ca_topic_score_gemma":0.004263033,"domain_scores_codex":[0.9998894,0.00002316852,0.00001387383,0.00003414726,0.000022649,0.00001685119],"domain_scores_gemma":[0.998224,0.00043971,0.0009305893,0.0001115072,0.000124203,0.0001700385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001778783,0.0000512249,0.9956086,0.00001902538,0.0001901721,0.000111233,0.00007630988,0.0002093596,0.001062146,0.00003442332,0.00004161617,0.00241803],"study_design_scores_gemma":[0.000001852366,0.00002970155,0.9994025,0.000001767238,0.0000185484,0.0001460522,0.00002027286,0.0001730718,0.0001106626,0.00007845199,0.00001590202,0.000001257057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993598,0.0001552441,0.000115166,0.00002365294,0.000001852744,0.000003281399,0.00008661952,0.000004237703,0.0002500014],"genre_scores_gemma":[0.9995909,0.00006087988,0.0001423404,0.000006843658,0.000004889561,0.000002467255,0.00009476479,0.000001247376,0.00009554566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002619038,"threshold_uncertainty_score":0.005934954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619599972115689,"score_gpt":0.3249521383576101,"score_spread":0.2629921411460411,"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."}}