{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005059147,0.0006611449,0.0005144459,0.001268061,0.0003590478,0.0004701261,0.0002787175,0.0004372683,0.0007937995],"category_scores_gemma":[0.001267727,0.0001812435,0.0003497002,0.0007541566,0.0002742023,0.0004919624,0.0003715441,0.0002100823,0.0001260589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705399,"about_ca_system_score_gemma":0.0001686524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400865,"about_ca_topic_score_gemma":0.00584527,"domain_scores_codex":[0.9998274,0.00002317066,0.00002390504,0.00005102314,0.00004684572,0.00002762035],"domain_scores_gemma":[0.999526,0.00007811458,0.0002337239,0.00004009025,0.00008381407,0.00003827839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007121854,0.0003523553,0.6204693,0.001165366,0.00164686,0.001364551,0.001695646,0.00208139,0.1889345,0.0005118112,0.001156317,0.1734999],"study_design_scores_gemma":[0.00001862712,0.00069751,0.9810402,0.00003914675,0.0002521975,0.0007805747,0.0001760429,0.00211001,0.01323831,0.0004292233,0.001188532,0.00002962505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929296,0.003335659,0.00280317,0.00002060348,0.00001465658,0.00002837201,0.0003802101,0.00006080972,0.0004269846],"genre_scores_gemma":[0.9943515,0.0007749195,0.003714268,0.00002289821,0.00001554698,0.00004157084,0.0004122277,0.00002448288,0.0006425368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003400865,"threshold_uncertainty_score":0.006762147,"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."}}