{"id":"W4412413781","doi":"10.1007/s11357-025-01773-9","title":"Testing retrogenesis and physiological explanations for tract-wise white matter aging: links to developmental order, fiber calibre, and vascularization","year":2025,"lang":"en","type":"article","venue":"GeroScience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"White matter; Caliber; Fiber; Biology; Anatomy; White (mutation); Order (exchange); Neuroscience; Medicine; Genetics; Engineering; Magnetic resonance imaging; Mechanical engineering; Chemistry","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":[0.00007373604,0.00007188994,0.00009268049,0.00006648261,0.0002042289,0.00003057209,0.00005139528,0.00003944792,0.00000659601],"category_scores_gemma":[0.000162962,0.00006241238,0.00001242281,0.0004171397,0.00006844737,0.000071712,0.00006372813,0.00006633917,0.000001817341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001918425,"about_ca_system_score_gemma":0.00003584622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003346478,"about_ca_topic_score_gemma":3.403745e-7,"domain_scores_codex":[0.9993894,0.000006578874,0.0001111068,0.0002972951,0.00006694812,0.0001286867],"domain_scores_gemma":[0.9996926,0.00005974559,0.00002550399,0.00009650889,0.00006597117,0.00005963331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000258146,0.0002299468,0.4506111,0.0001499063,0.00001115744,0.000004124845,0.0003316697,0.0001018401,0.4874282,0.001285366,0.00709065,0.05273024],"study_design_scores_gemma":[0.0003364921,0.00007638626,0.9742126,0.0001003405,0.00002918063,0.00003506544,0.00004248972,0.002629589,0.01030317,0.0007070203,0.01137258,0.0001551286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7080325,0.00003481141,0.2847276,0.005973651,0.00002198165,0.0006719516,0.00001702144,0.0001168086,0.0004036433],"genre_scores_gemma":[0.627012,0.00001084129,0.3678596,0.003930111,0.00001503149,0.0001763937,0.00001291309,0.000007635518,0.0009754275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236015,"threshold_uncertainty_score":0.2545103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09633646232879,"score_gpt":0.3509578979395293,"score_spread":0.2546214356107393,"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."}}