{"id":"W1133396265","doi":"10.71781/18881","title":"Microstructural and metabolic changes in the brains of concussed athletes","year":2011,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Athletes; Data science; Physical therapy; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004516682,0.0001849221,0.000720098,0.000124325,0.00002412603,0.0000413437,0.000261934,0.000167045,0.0003145896],"category_scores_gemma":[0.0001247471,0.0001209636,0.0001320608,0.0001261168,0.00006315071,0.00005113144,0.00004752232,0.0002049573,0.00001412016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007074146,"about_ca_system_score_gemma":0.00007864439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004738457,"about_ca_topic_score_gemma":0.002299326,"domain_scores_codex":[0.9991382,0.00008851441,0.0001845376,0.0002612424,0.000183941,0.0001435851],"domain_scores_gemma":[0.9992889,0.00008122626,0.0001317033,0.0003935382,0.00006531945,0.00003932396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001071963,0.00009020291,0.001669372,0.00044296,0.0006773662,0.0001702664,0.0317412,1.127462e-7,0.1420116,0.00004437942,0.0002847649,0.8217958],"study_design_scores_gemma":[0.004808277,0.0003294029,0.5707831,0.001515887,0.002151361,0.0001865578,0.006181298,0.000003252916,0.3850448,0.00006031786,0.02849861,0.0004370707],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798272,0.007927206,6.626401e-8,0.00006621706,0.0001312261,0.001487184,0.00003366802,6.316029e-7,0.01052658],"genre_scores_gemma":[0.9945381,0.0006362373,0.0006150315,0.00007730394,0.00009652775,0.00006019406,0.0006660481,0.00003312514,0.003277394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8213587,"threshold_uncertainty_score":0.4932751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530517307773099,"score_gpt":0.3074338527119339,"score_spread":0.2821286796342029,"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."}}