{"id":"W4416170525","doi":"10.1007/s10237-026-02080-8","title":"Aging-Related Lateral Ventricular Shape Changes and Corresponding Mechanical Loading Derived from Longitudinal Image Registration","year":2025,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Engineering; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; University of Southern California; Biogen; BioClinica; Division of Civil, Mechanical and Manufacturing Innovation; Meso Scale Diagnostics; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; Canadian Institutes of Health Research; National Science Foundation","keywords":"Magnetic resonance imaging; Displacement (psychology); Neuroimaging; Curvature; Lateral ventricles; Electromagnetic coil; Cardiac cycle; Volume (thermodynamics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007958945,0.0004047266,0.0003369422,0.001440845,0.0001527605,0.0005480408,0.0002509431,0.0004238684,0.001115088],"category_scores_gemma":[0.002181655,0.0001806017,0.0003211002,0.0007467755,0.0003547663,0.0003507966,0.0004313224,0.0002334924,0.000356083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568761,"about_ca_system_score_gemma":0.0001874479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009449777,"about_ca_topic_score_gemma":0.001685986,"domain_scores_codex":[0.9997587,0.0000440793,0.00002927002,0.00007254313,0.00006786279,0.00002752778],"domain_scores_gemma":[0.9993172,0.0001277714,0.0002706506,0.0001244272,0.0001164227,0.00004354565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001675458,0.0002386446,0.5513503,0.000306467,0.0003518605,0.001604306,0.001203944,0.01431585,0.2547823,0.001274107,0.001613309,0.1712834],"study_design_scores_gemma":[0.00001601577,0.0004340842,0.9239359,0.00002769786,0.0001025955,0.002927076,0.0003003715,0.042405,0.02733356,0.001092764,0.001362944,0.00006209355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772558,0.000317671,0.02026675,0.00003914258,0.00001591478,0.00004943359,0.0008356578,0.0002131851,0.001006417],"genre_scores_gemma":[0.9900404,0.0001580593,0.008356413,0.00001718657,0.00001491175,0.00005380101,0.0008227275,0.00004623659,0.0004904297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001440845,"threshold_uncertainty_score":0.004209161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409870451503991,"score_gpt":0.2934257712251319,"score_spread":0.259327066710092,"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."}}