{"id":"W4312087931","doi":"10.1002/alz.065669","title":"Vascular and Microstructural Markers of Cognitive Pathology","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arterial stiffness; Cardiology; Montreal Cognitive Assessment; Fractional anisotropy; Internal medicine; Pulse wave velocity; White matter; Cognition; Medicine; Hyperintensity; Dementia; Diffusion MRI; Pittsburgh compound B; Psychology; Blood pressure; Neuroscience; Magnetic resonance imaging; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006200549,0.0005097789,0.0002642492,0.001780857,0.0003338798,0.0009006607,0.0003460821,0.0004623492,0.003076569],"category_scores_gemma":[0.002445895,0.0001753191,0.0003033653,0.001309148,0.0002330554,0.0002938451,0.0003585561,0.00048289,0.0002817422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530022,"about_ca_system_score_gemma":0.000364746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201113,"about_ca_topic_score_gemma":0.004661446,"domain_scores_codex":[0.9997211,0.00005478823,0.00003286979,0.00007084,0.00006514217,0.00005513738],"domain_scores_gemma":[0.997501,0.0004330711,0.001343435,0.0001357723,0.0003309703,0.0002558197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003046943,0.00007288357,0.9929329,0.00003590215,0.0001723604,0.0001160205,0.00004878531,0.0001472228,0.0006625558,0.00005246314,0.0001640641,0.005290137],"study_design_scores_gemma":[0.000003296026,0.00006869688,0.999046,0.000006456365,0.0000363396,0.0002330064,0.00003082622,0.0001992067,0.0001669093,0.0001001096,0.0001061471,0.000003044923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963904,0.0009508089,0.0002218398,0.00006203784,0.000009676129,0.00001205446,0.0008292114,0.00001699997,0.00150691],"genre_scores_gemma":[0.9988791,0.0001346652,0.0002068654,0.00001450925,0.000024219,0.00000936885,0.0003134795,0.000001522288,0.0004162325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004201113,"threshold_uncertainty_score":0.01029217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301634632791226,"score_gpt":0.2689033356513833,"score_spread":0.255886989323471,"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."}}