{"id":"W3106311311","doi":"10.1371/journal.pone.0242696","title":"Free water: A marker of age-related modifications of the cingulum white matter and its association with cognitive decline","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Caisse nationale de solidarité pour l'autonomie; Fondation Plan Alzheimer; Mitacs; Fondation de France; Fondation pour la Recherche Médicale; Fondation Vaincre Alzheimer; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Sanofi","keywords":"Cingulum (brain); White matter; Splenium; Inferior longitudinal fasciculus; Hyperintensity; Diffusion MRI; Cognitive decline; Psychology; Verbal fluency test; Neuroscience; Cognition; Audiology; Tractography; Neuropsychology; Fractional anisotropy; Medicine; Magnetic resonance imaging; Internal medicine; Dementia; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005018327,0.00005843195,0.0001588623,0.00002006679,0.0000319472,0.00000298273,0.00006190364,0.00003213967,0.00004372864],"category_scores_gemma":[0.0001275433,0.00003677833,0.00002183377,0.0001376263,0.00004347588,0.00002987402,0.00006846042,0.0001197639,0.000003743487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001100849,"about_ca_system_score_gemma":0.000009988775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003289616,"about_ca_topic_score_gemma":0.000001185436,"domain_scores_codex":[0.9994419,0.00001982101,0.0001706047,0.0001240111,0.0001697616,0.00007395748],"domain_scores_gemma":[0.9994446,0.00004412559,0.00012722,0.0001564973,0.0001925444,0.00003500748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325746,0.0007536342,0.5664008,0.0002598512,0.0002670815,0.000001891089,0.001029377,0.000004251736,0.4304614,0.0002183354,0.0004107931,0.00006001786],"study_design_scores_gemma":[0.001382842,0.0001682157,0.5189205,0.0004713317,0.0007353969,0.000003282493,0.00005844192,0.001953077,0.4752612,0.0008961913,0.00005395632,0.00009555087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647761,0.00002526057,0.0006351691,0.032764,0.00000190421,0.0005377783,0.00007704522,0.00004098791,0.001141732],"genre_scores_gemma":[0.9959459,0.0000257158,0.002522534,0.000809097,0.00001089594,0.00004079241,0.00002048431,0.0000139198,0.0006106701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748024,"threshold_uncertainty_score":0.1499777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795097177639184,"score_gpt":0.2718487303204526,"score_spread":0.2138977585440608,"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."}}