{"id":"W2118317725","doi":"10.1093/brain/awu236","title":"Diffuse white matter tract abnormalities in clinically normal ageing retired athletes with a history of sports-related concussions","year":2014,"lang":"en","type":"article","venue":"Brain","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; McGill Genome Centre; Hôpital du Sacré-Cœur de Montréal; McGill University; Université du Québec à Trois-Rivières; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"White matter; Corpus callosum; Fractional anisotropy; Athletes; Concussion; Psychology; Diffusion MRI; Medicine; Poison control; Physical medicine and rehabilitation; Physical therapy; Injury prevention; Neuroscience; Magnetic resonance imaging","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":[0.0003001504,0.0001986191,0.000170744,0.0009848882,0.0002623644,0.0002162772,0.0001564103,0.0002372341,0.000645199],"category_scores_gemma":[0.0009660526,0.0001364419,0.000135018,0.0002978519,0.0003515488,0.0001381138,0.000346583,0.0001054265,0.0001342014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512443,"about_ca_system_score_gemma":0.0001675428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001148,"about_ca_topic_score_gemma":0.008361719,"domain_scores_codex":[0.9998846,0.00002100893,0.00001676207,0.00003363806,0.00002234404,0.00002165772],"domain_scores_gemma":[0.9995566,0.00005378048,0.0001932577,0.0000500672,0.00006272836,0.00008358889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004639775,0.0000517251,0.9718541,0.00002617928,0.00005362902,0.0007530958,0.0004862514,0.0001373011,0.01710606,0.00002061589,0.0000387542,0.009008234],"study_design_scores_gemma":[0.000001589045,0.0001351791,0.998656,0.000001364678,0.000008139788,0.0006703843,0.00009501345,0.00008922012,0.0003093189,0.000006240647,0.00002620619,0.000001291752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997907,0.00005380601,0.00007626168,0.000002473469,5.283988e-7,0.000002792238,0.00002108083,0.00000234336,0.00005000466],"genre_scores_gemma":[0.9997378,0.00003216768,0.0001199598,0.000002920526,0.000002084568,0.000001587584,0.00004545321,7.527906e-7,0.00005731934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005001148,"threshold_uncertainty_score":0.009944081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212556085356092,"score_gpt":0.2932200029712996,"score_spread":0.2610944421177387,"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."}}