{"id":"W4409148172","doi":"10.1007/s10237-025-01945-8","title":"Role of player-specific white matter parcellation and scaling in impact-induced strain responses","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":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); White matter; Diffusion MRI; Concussion; Psychology; Brain size; Poison control; Magnetic resonance imaging; Medicine; Geography","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":[0.0006665589,0.000201733,0.0004806021,0.001028214,0.00004692098,0.00001358334,0.00006918189,0.0003255426,0.00004145097],"category_scores_gemma":[0.00002443089,0.0001828267,0.00005403646,0.0003257852,0.00002898215,0.00004060657,0.0001043199,0.0002096112,0.000002096279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405607,"about_ca_system_score_gemma":0.00007617645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006575519,"about_ca_topic_score_gemma":0.00003599222,"domain_scores_codex":[0.9985738,0.0001019258,0.0005112913,0.0004268228,0.0000769186,0.0003092832],"domain_scores_gemma":[0.9995239,0.00005690398,0.00009527983,0.0002005479,0.00006393532,0.00005946065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007157779,0.00009237967,0.00380731,0.00008502229,0.00003180858,0.000004935322,0.0005766623,0.00004014734,0.9768208,0.008065016,0.000006647275,0.009753458],"study_design_scores_gemma":[0.003638497,0.001064679,0.006522084,0.0006788641,0.00006255358,0.0000459588,0.001945611,0.8471652,0.06113422,0.07717948,0.0001202198,0.0004426717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887766,0.0009627155,0.009431881,0.0001973748,0.00009560848,0.0003664666,0.00004460496,0.00001775893,0.0001069512],"genre_scores_gemma":[0.9982926,0.0004917136,0.0009300271,0.0001448946,0.00002119401,0.00001431214,0.0000392801,0.00001672951,0.00004928281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9156866,"threshold_uncertainty_score":0.7455457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736157217182312,"score_gpt":0.3088832166668378,"score_spread":0.2715216444950146,"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."}}