{"id":"W4406201579","doi":"10.1002/alz.085994","title":"Can neuroimaging methods help us to disentangle WMH etiology in AD?","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Diffusion MRI; Neuroimaging; Fractional anisotropy; Neuropathology; White matter; Pathology; Magnetic resonance imaging; Neuroscience; Amyloid (mycology); Ex vivo; Medicine; In vivo; Psychology; Disease; Biology; 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":[0.004207447,0.001413682,0.001606074,0.004373379,0.0004034556,0.00240593,0.001157758,0.001992428,0.003237501],"category_scores_gemma":[0.01041753,0.0004518862,0.0008774064,0.001774324,0.001103186,0.004426192,0.0009262489,0.001736341,0.001632038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268143,"about_ca_system_score_gemma":0.0004528417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012833,"about_ca_topic_score_gemma":0.003091581,"domain_scores_codex":[0.9993417,0.0002532112,0.0001019491,0.0001374652,0.0001130014,0.00005255102],"domain_scores_gemma":[0.9963514,0.001254472,0.0007553058,0.0004063925,0.0009988872,0.0002335381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009984451,0.0004574878,0.3178692,0.003146468,0.001548784,0.002038697,0.0004808257,0.00200481,0.0150684,0.005558024,0.03653376,0.6142951],"study_design_scores_gemma":[0.00019422,0.001212812,0.6965414,0.008321607,0.00133801,0.0128359,0.00354979,0.02686213,0.008994323,0.1444856,0.09515544,0.0005087112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4804236,0.3476685,0.06927533,0.06551021,0.006462981,0.0002859634,0.005642127,0.001355093,0.02337603],"genre_scores_gemma":[0.8084561,0.08737985,0.08557728,0.00688106,0.005507232,0.0002697625,0.001923046,0.0002131447,0.003792443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004373379,"threshold_uncertainty_score":0.02225137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08564462893579457,"score_gpt":0.423573589266043,"score_spread":0.3379289603302484,"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."}}