{"id":"W2560103313","doi":"10.1213/ane.0000000000001721","title":"Sedation of Patients With Disorders of Consciousness During Neuroimaging: Effects on Resting State Functional Brain Connectivity","year":2016,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Médicale Reine Elisabeth; Wallonie-Bruxelles International; Natural Sciences and Engineering Research Council of Canada; European Commission; Université de Liège; Mind Science Foundation; Belgian American Educational Foundation; James S. McDonnell Foundation","keywords":"Medicine; Sedation; Neuroimaging; Resting state fMRI; Persistent vegetative state; Functional connectivity; Consciousness; Consciousness Disorders; Neuroscience; Functional neuroimaging; Anesthesia; Minimally conscious state; Psychiatry; Radiology","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":[0.0003465567,0.0001682878,0.0003528911,0.0002435272,0.00007007865,0.000007306872,0.00008570351,0.0000437192,0.00003717078],"category_scores_gemma":[0.00049375,0.0001117739,0.0000640049,0.0003174007,0.0002286279,0.0001330683,0.00001621724,0.0001248958,0.000007561258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602655,"about_ca_system_score_gemma":0.0001126079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005163778,"about_ca_topic_score_gemma":0.00002018756,"domain_scores_codex":[0.9982674,0.0002126311,0.000302427,0.0003104502,0.0006418118,0.0002652412],"domain_scores_gemma":[0.9977145,0.001368817,0.0002304528,0.0003438873,0.0002410867,0.0001012844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002265657,0.0003571293,0.9713547,0.000494915,0.0000791798,0.0000366382,0.0001494036,0.00001997971,0.01049191,0.0002208343,0.0001128008,0.01441689],"study_design_scores_gemma":[0.003780446,0.001145727,0.9797322,0.0005661739,0.00003842839,0.00002315089,0.00002541113,0.00004486132,0.01433053,0.0001642106,0.00003130132,0.0001175174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954806,0.000007842999,0.000569393,0.00320109,0.0000154441,0.0005584282,0.000004042135,0.00004400652,0.0001191748],"genre_scores_gemma":[0.9995656,0.000003131688,0.0001276904,0.0001123655,0.00002077159,0.00001962102,0.00001231337,0.00003342084,0.000105093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01429937,"threshold_uncertainty_score":0.4558006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585633168076377,"score_gpt":0.2579582111306609,"score_spread":0.2421018794498971,"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."}}