{"id":"W3015387786","doi":"10.17863/cam.59155","title":"A management algorithm for patients with intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC).","year":2019,"lang":"en","type":"article","venue":"Monash University Research Portal (Monash University)","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Manitoba","funders":"European Society of Intensive Care Medicine; National Institute for Health and Care Research; Stryker; Congress of Neurological Surgeons","keywords":"Medicine; Psychological intervention; Traumatic brain injury; Intracranial pressure; Intracranial pressure monitoring; Sedation; Algorithm; Intensive care medicine; Medical emergency; Computer science; Surgery; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004416419,0.000265554,0.0003492812,0.0004642462,0.000485615,0.00007011293,0.0007653199,0.0001384946,0.0003506887],"category_scores_gemma":[0.00004854014,0.0002297726,0.0002004544,0.0006946477,0.0004723704,0.0002951594,0.000313147,0.0005759545,0.00004495348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587539,"about_ca_system_score_gemma":0.0002139715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000654254,"about_ca_topic_score_gemma":0.0000260465,"domain_scores_codex":[0.997185,0.0002447633,0.0001874172,0.0006586083,0.001165276,0.0005589354],"domain_scores_gemma":[0.9979337,0.0004209414,0.0001248519,0.0005618168,0.0007073871,0.0002513062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02636664,0.007717518,0.5292548,0.002915651,0.01359792,0.008608668,0.005958439,0.0002780659,0.0004915665,0.05191406,0.05920324,0.2936935],"study_design_scores_gemma":[0.0233411,0.00369933,0.4806114,0.000963371,0.00102773,0.000108875,0.03228342,0.004150884,0.0002627822,0.0002937689,0.4521043,0.001153034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607331,0.00002477722,0.0004784533,0.001772561,0.0003424462,0.002970108,0.0004077675,0.0001089805,0.03316176],"genre_scores_gemma":[0.9457914,0.00005789236,0.002174304,0.00004705841,0.00008216247,0.000003021439,0.0001214262,0.00002891853,0.05169384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3929011,"threshold_uncertainty_score":0.9369854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049970361874953,"score_gpt":0.2760876128286204,"score_spread":0.2455879092098709,"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."}}