{"id":"W4386046368","doi":"10.1007/s12028-023-01795-1","title":"Common Data Elements for Disorders of Consciousness: Recommendations from the Electrophysiology Working Group","year":2023,"lang":"en","type":"article","venue":"Neurocritical Care","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"H2020 Excellent Science; National Center for Advancing Translational Sciences; Yale New Haven Hospital; James S. McDonnell Foundation; Yale University; National Institute of Neurological Disorders and Stroke; American Heart Association; Cures For Kids Foundation; Fondazione per la Ricerca Biomedica; U.S. Department of Defense","keywords":"Persistent vegetative state; Neurointensive care; Electroencephalography; Medicine; Standardization; Raw data; Working group; Consciousness Disorders; Neurology; Consciousness; Psychology; Intensive care medicine; Computer science; Psychiatry; Neuroscience; Minimally conscious state","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":[0.0001626162,0.00009536411,0.0002388103,0.0000511508,0.0001500597,0.00001545811,0.000437619,0.00005205088,0.00009306497],"category_scores_gemma":[0.001173876,0.00007212116,0.0000601012,0.0002990748,0.0001954157,0.0000394934,0.0002702447,0.0002670302,0.00001922051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002144931,"about_ca_system_score_gemma":0.0000514481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006945711,"about_ca_topic_score_gemma":0.0002772642,"domain_scores_codex":[0.9986631,0.0001454716,0.0002929186,0.0003161246,0.0002330403,0.0003493353],"domain_scores_gemma":[0.9960311,0.003018161,0.00002975865,0.0007562616,0.00009190875,0.00007278439],"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":[0.002167186,0.0008263525,0.1289735,0.001427557,0.0005645916,0.00005027084,0.002628655,0.000004448505,0.05827447,0.02722975,0.2805676,0.4972856],"study_design_scores_gemma":[0.01565214,0.00689522,0.5112646,0.001280192,0.001260959,0.0000296245,0.03414241,0.01405164,0.003154863,0.05204781,0.3591588,0.00106179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218292,0.0003606652,0.0009949812,0.07000899,0.0006706352,0.00227827,0.002435005,0.0002447881,0.00117744],"genre_scores_gemma":[0.9942337,0.00007248951,0.0008046617,0.001233652,0.0001365092,0.00009655208,0.003378507,0.000027204,0.00001669013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4962238,"threshold_uncertainty_score":0.2941015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263749825075254,"score_gpt":0.4081905120410194,"score_spread":0.281815529533494,"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."}}