{"id":"W3215468279","doi":"10.1101/2021.11.23.469690","title":"White Matter Hyperintensity Distribution Differences in Aging and Neurodegenerative Disease Cohorts","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta; Université du Québec à Trois-Rivières; Université Laval","funders":"Canadian Institutes of Health Research; Alzheimer Society Research Program; Alzheimer Society; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Dementia; Hyperintensity; Vascular dementia; Frontotemporal dementia; Neurodegeneration; Psychology; Medicine; Cognitive decline; Cohort; White matter; Alzheimer's disease; Internal medicine; Population; Fluid-attenuated inversion recovery; Cardiology; Magnetic resonance imaging; Audiology; Disease; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006823852,0.0002705349,0.000330844,0.001071767,0.000510023,0.0006041385,0.0003823566,0.0003332775,0.001445239],"category_scores_gemma":[0.001423092,0.0001661991,0.0003227477,0.0008206356,0.0002689376,0.0003270154,0.000521306,0.0002181767,0.0001870249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621573,"about_ca_system_score_gemma":0.0003416986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01883546,"about_ca_topic_score_gemma":0.02186468,"domain_scores_codex":[0.99965,0.00003458511,0.00003495933,0.0001416087,0.00006927727,0.000069593],"domain_scores_gemma":[0.9993995,0.00006332197,0.0002121746,0.00007853552,0.0001338657,0.0001124639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002450594,0.00001396661,0.9969822,0.000008884689,0.0001252304,0.00008359254,0.0001981133,0.00003234285,0.0007941749,0.00004463037,0.0001227458,0.001349059],"study_design_scores_gemma":[0.000002259249,0.00001979849,0.9996364,0.000001652886,0.00001227901,0.00008553587,0.00007542492,0.00002656873,0.00004715512,0.00001882649,0.0000726586,0.000001365774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986512,0.0001660818,0.00005755931,0.00001169583,0.000002861203,0.000009153589,0.0007291673,0.000003095965,0.0003693429],"genre_scores_gemma":[0.9986457,0.00005679268,0.00005617076,0.00001030085,0.000004729941,0.000009993538,0.001026399,0.000002526815,0.0001872182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01883546,"threshold_uncertainty_score":0.03745162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150261470878855,"score_gpt":0.2413268527374053,"score_spread":0.2263007056495198,"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."}}