{"id":"W4296070893","doi":"10.1016/j.nicl.2022.103204","title":"White matter hyperintensity distribution differences in aging and neurodegenerative disease cohorts","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Alberta; Université du Québec à Trois-Rivières; McGill University","funders":"Canadian Institutes of Health Research; Alzheimer Society Research Program; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Hyperintensity; Disease; White matter; Medicine; Neuroscience; Psychology; Pathology; Magnetic resonance imaging","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":[0.0008200891,0.000274695,0.0003312107,0.001034001,0.0004657715,0.0005387068,0.0003523387,0.0003563477,0.00135188],"category_scores_gemma":[0.001633952,0.0001750208,0.0003022605,0.000718638,0.0002741654,0.0003439111,0.0005518187,0.0002301077,0.0002162911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236596,"about_ca_system_score_gemma":0.0003004754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024196,"about_ca_topic_score_gemma":0.01264518,"domain_scores_codex":[0.9996783,0.00003550681,0.00003261648,0.000134661,0.00006622975,0.00005266215],"domain_scores_gemma":[0.9992771,0.00008319275,0.0002973558,0.00009080697,0.0001245108,0.000127176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002363659,0.00001218519,0.9972426,0.000008338405,0.0001115419,0.00007764354,0.0002043722,0.00003143386,0.0006258251,0.00003223843,0.00008614033,0.001331338],"study_design_scores_gemma":[0.000002414952,0.00002383384,0.9996266,0.00000176555,0.0000136659,0.0001041045,0.00007132006,0.00002441243,0.00004656735,0.00001859956,0.00006527879,0.000001368273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989042,0.0001653076,0.00005266716,0.00001060254,0.000002320177,0.00000765509,0.0005573559,0.000002808501,0.000297053],"genre_scores_gemma":[0.998758,0.00006355578,0.00006364677,0.000009431906,0.000004635254,0.000009486826,0.0009514898,0.000002577421,0.0001372332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024196,"threshold_uncertainty_score":0.0203647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05225343262171237,"score_gpt":0.357442799005839,"score_spread":0.3051893663841266,"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."}}