{"id":"W4409908879","doi":"10.1097/cce.0000000000001257","title":"Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury","year":2025,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Pupillometry; Traumatic brain injury; Pupil; Medicine; Logistic regression; Observational study; Abnormality; Internal medicine; Psychology; Psychiatry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003805765,0.0002552252,0.001487236,0.0008391242,0.00009739488,0.00008772919,0.0001524861,0.0002278921,0.00002146898],"category_scores_gemma":[0.039193,0.0002088039,0.0004447547,0.000898072,0.000362166,0.0005511453,0.00004379081,0.0002989733,4.618146e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007203277,"about_ca_system_score_gemma":0.0003011177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000545289,"about_ca_topic_score_gemma":0.0001838708,"domain_scores_codex":[0.9954726,0.000911236,0.002418775,0.0005520984,0.0003783471,0.0002669658],"domain_scores_gemma":[0.9910007,0.007885654,0.0002649315,0.0003013301,0.0003619323,0.0001854745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001490537,0.002857713,0.888925,0.003895964,0.00176992,0.00000895177,0.01494708,0.0001130726,0.001957836,0.02257698,0.0006735057,0.06078348],"study_design_scores_gemma":[0.002438854,0.0007310422,0.9440767,0.0008998147,0.001722955,0.000001481251,0.003012433,0.03753444,0.0006687623,0.008679891,0.00001031888,0.000223295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710905,0.0004444973,0.01211135,0.01354526,0.0001541044,0.001998509,0.0004796373,0.00004145718,0.0001346677],"genre_scores_gemma":[0.9935495,0.00007476583,0.004792648,0.0005537081,0.00003551071,0.000672143,0.0002864119,0.00001476142,0.00002050119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06056019,"threshold_uncertainty_score":0.9689003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924909433742776,"score_gpt":0.4914376584525729,"score_spread":0.2989467150782952,"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."}}