{"id":"W2057642921","doi":"10.3389/fneur.2015.00068","title":"Multivariate Analysis of Traumatic Brain Injury: Development of an Assessment Score","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Defence Research and Development Canada","funders":"Uniformed Services University of the Health Sciences; U.S. Army; Center for Neuroscience and Regenerative Medicine; U.S. Department of Defense","keywords":"Traumatic brain injury; Multivariate statistics; Multivariate analysis; Psychology; Medicine; Internal medicine; Psychiatry; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007745887,0.0001522702,0.0008924375,0.0007143439,0.00001929839,0.00000326506,0.0001795456,0.0001147651,0.00002057896],"category_scores_gemma":[0.0001894388,0.0001354251,0.0001354773,0.0008593928,0.000159907,0.00007360777,0.00003777275,0.00021045,6.375951e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003204594,"about_ca_system_score_gemma":0.0002279478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003165387,"about_ca_topic_score_gemma":0.0000561693,"domain_scores_codex":[0.998121,0.0003278968,0.0007027233,0.0003230151,0.0003092556,0.0002161308],"domain_scores_gemma":[0.9990355,0.0000823229,0.000253482,0.0004265658,0.00007321985,0.0001289584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003056858,0.002642486,0.8914899,0.0004804776,0.003651353,0.0001056512,0.01170516,0.001303865,0.003978445,0.0005184946,0.00256211,0.07850517],"study_design_scores_gemma":[0.002206637,0.001259416,0.9801834,0.00003149915,0.000621004,0.000007958067,0.0004099756,0.01232654,0.001829372,0.0003201476,0.0006763903,0.000127706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903533,0.00009123611,0.008029303,0.0003989589,0.0003974643,0.0003249287,0.00001015246,0.00002014909,0.0003744874],"genre_scores_gemma":[0.9534594,0.000003913135,0.04595418,0.0004671896,0.0000134087,0.00002462394,0.0000418234,0.00001389791,0.00002152817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08869343,"threshold_uncertainty_score":0.5522476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770527295158738,"score_gpt":0.3417818993773138,"score_spread":0.2940766264257265,"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."}}