{"id":"W4292836783","doi":"10.1002/ana.26487","title":"Venous Collagenosis as Pathogenesis of White Matter Hyperintensity","year":2022,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Heart and Stroke Foundation; University of Toronto; Ontario Brain Institute; Sunnybrook Health Science Centre","funders":"National Institute on Aging; National Institutes of Health; Center for Integrated Healthcare, U.S. Department of Veterans Affairs; Foundation for the National Institutes of Health","keywords":"Medicine; Hyperintensity; Pathology; White matter; Pathogenesis; Magnetic resonance imaging; Cardiology; 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":[0.0004903507,0.0004957592,0.0001181695,0.0007634964,0.000114875,0.0004883882,0.0002836526,0.0003240578,0.0009266271],"category_scores_gemma":[0.001113752,0.0001671702,0.0001411954,0.0004194213,0.0004322737,0.0003734756,0.0002284311,0.0002293219,0.0001602739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145842,"about_ca_system_score_gemma":0.000140377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758536,"about_ca_topic_score_gemma":0.000499308,"domain_scores_codex":[0.9998509,0.00005324279,0.00001374436,0.00003229249,0.00002933089,0.00002055419],"domain_scores_gemma":[0.9993035,0.0001459735,0.0004081415,0.00002355428,0.00006485188,0.00005408123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001062555,0.0001241514,0.9329941,0.0002699597,0.0002049485,0.003800768,0.0001827327,0.000924868,0.04032858,0.0007659997,0.00022963,0.01911164],"study_design_scores_gemma":[0.00004622422,0.0005147489,0.9754857,0.00008718707,0.0001172073,0.009148182,0.0001877896,0.004357325,0.007982566,0.001370327,0.00069196,0.00001082223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933866,0.004206608,0.001396443,0.00008270747,0.0000131602,0.00001539255,0.00006256587,0.0000252372,0.0008113542],"genre_scores_gemma":[0.9975702,0.001368055,0.000740425,0.000009175697,0.00003027822,0.0000068662,0.00006478943,0.000002639578,0.000207486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009266271,"threshold_uncertainty_score":0.003099859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467525822987166,"score_gpt":0.2871665938107203,"score_spread":0.2324913355808486,"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."}}