{"id":"W4225621567","doi":"10.1161/circulationaha.122.059281","title":"What Turns the White Matter White? Metabolomic Clues to the Origin of Age-Related Cerebral White Matter Hyperintensities","year":2022,"lang":"en","type":"letter","venue":"Circulation","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Medical Research Council; Canadian Institutes of Health Research","keywords":"Hyperintensity; Medicine; White matter; White (mutation); Leukoaraiosis; Pathology; Magnetic resonance imaging; Radiology; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001072635,0.000686506,0.001437572,0.0007198221,0.001096943,0.001644771,0.0007952891,0.01196818,0.002191193],"category_scores_gemma":[0.008047431,0.0003558524,0.0008313266,0.0005270902,0.001572612,0.002421785,0.0004824439,0.009657137,0.001338268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167302,"about_ca_system_score_gemma":0.0006882682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220224,"about_ca_topic_score_gemma":0.001974635,"domain_scores_codex":[0.9994445,0.000130756,0.00008704881,0.0001153583,0.0001076848,0.0001145133],"domain_scores_gemma":[0.9977192,0.001374112,0.0001740169,0.0001388219,0.0003624561,0.0002313995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002286377,0.000326851,0.04287833,0.0005241588,0.0004181318,0.402417,0.00103585,0.0007936828,0.01217443,0.01867984,0.426055,0.09241036],"study_design_scores_gemma":[0.001558272,0.0008695893,0.04893652,0.001248736,0.0008294614,0.3351218,0.003123058,0.01154237,0.01295312,0.1767293,0.4067169,0.0003708608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03066928,0.01577743,0.001761256,0.9244646,0.01965912,0.00005042319,0.0002723259,0.0001396866,0.007205846],"genre_scores_gemma":[0.284467,0.01744538,0.003167047,0.4354481,0.2526568,0.00007291304,0.0001637546,0.00009627294,0.006482739],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01196818,"threshold_uncertainty_score":0.008469403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332406163886266,"score_gpt":0.3005223714069434,"score_spread":0.2571983097680807,"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."}}