{"id":"W1775970683","doi":"10.1089/neu.2015.3948","title":"Long-Term Abnormalities in the Corpus Callosum of Female Concussed Athletes","year":2015,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Corpus callosum; Diffusion MRI; Concussion; White matter; Fractional anisotropy; Corticospinal tract; Athletes; Psychology; Medicine; Magnetic resonance imaging; Physical medicine and rehabilitation; Physical therapy; Neuroscience; Poison control; Radiology; Injury prevention","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":[0.0002798732,0.00008405976,0.0002420877,0.00009826629,0.00001897321,0.00001028647,0.0001971796,0.00002776053,0.000006398701],"category_scores_gemma":[0.0001302664,0.00005353491,0.00009217374,0.0001551174,0.0001048425,0.00009345577,0.00002095318,0.0002993921,0.00000135453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081764,"about_ca_system_score_gemma":0.00006973139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006661181,"about_ca_topic_score_gemma":0.000002052991,"domain_scores_codex":[0.999037,0.00005781201,0.0004264457,0.00007637379,0.0002811415,0.0001212497],"domain_scores_gemma":[0.9991028,0.0001204674,0.0003018266,0.0002193652,0.0001791001,0.00007638676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009976967,0.001627718,0.891939,0.0003236978,0.00007068198,0.00307162,0.005089994,0.0001476572,0.06636397,0.005118427,0.005969197,0.01928032],"study_design_scores_gemma":[0.003104571,0.002083888,0.9527167,0.0004234578,0.0001060474,0.005178224,0.0004938538,0.00006357256,0.02581176,0.001730008,0.008135477,0.0001524135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956186,0.000303364,0.0004739398,0.002430282,0.00006201102,0.0002100717,0.000003468601,0.00001347045,0.0008847546],"genre_scores_gemma":[0.9979539,0.0001357252,0.0009014796,0.0007902129,0.0001044478,0.000006534784,0.000001033122,0.00001212683,0.00009455568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06077771,"threshold_uncertainty_score":0.218309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2433080729260872,"score_gpt":0.4057420195263595,"score_spread":0.1624339466002722,"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."}}