{"id":"W2883274417","doi":"10.3389/fneur.2018.00616","title":"Neuro-Metabolite Changes in a Single Season of University Ice Hockey Using Magnetic Resonance Spectroscopy","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; Ontario Trillium Foundation; National Institutes of Health; U.S. Department of Defense; University of British Columbia; Congressionally Directed Medical Research Programs; National Institute on Aging; Ministère de l’Éducation, Gouvernement de l’Ontario; Ontario Neurotrauma Foundation; Harvard University; U.S. Department of Veterans Affairs; Ludwig-Maximilians-Universität München; Harvard Catalyst","keywords":"Ice hockey; Nuclear magnetic resonance; Spectroscopy; Magnetic resonance imaging; Nuclear magnetic resonance spectroscopy; Metabolite; Physics; Chemistry; Astronomy; Medicine; Physical medicine and rehabilitation; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007661086,0.00009244046,0.0002595467,0.000238219,0.00002583032,0.000001488369,0.0001090158,0.00008693037,0.0000108596],"category_scores_gemma":[0.00005145584,0.000105219,0.00002431321,0.000504106,0.0001994968,0.00003620084,0.00005429233,0.0001923432,9.426411e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004097384,"about_ca_system_score_gemma":0.00003053829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008571577,"about_ca_topic_score_gemma":0.0001315773,"domain_scores_codex":[0.9992199,0.00007472549,0.0001244048,0.0002745698,0.00006732529,0.0002390981],"domain_scores_gemma":[0.9995632,0.00003186118,0.00006715515,0.0002552492,0.00003934247,0.0000431973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003538069,0.0006458302,0.5312068,0.00006644819,0.000004847545,0.0002952064,0.0005063147,0.00007225059,0.4367605,0.001286188,0.003061594,0.02255599],"study_design_scores_gemma":[0.004061879,0.005126938,0.5123843,0.0001094327,0.00009353521,0.0001423392,0.0001735798,0.01822889,0.09425065,0.003376483,0.3616509,0.0004010655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969156,0.001202304,0.02631161,0.001909348,0.0001946531,0.0003978548,0.00001136844,0.0000451634,0.0007716774],"genre_scores_gemma":[0.8257553,0.0007923333,0.1715288,0.001604386,0.0001319089,0.000006390168,0.000004356527,0.00002819317,0.0001482975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3585893,"threshold_uncertainty_score":0.4290708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461120790659761,"score_gpt":0.2621497417338432,"score_spread":0.2475385338272456,"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."}}