{"id":"W2465058324","doi":"10.1016/j.nicl.2016.06.021","title":"Bedside functional brain imaging in critically-ill children using high-density EEG source modeling and multi-modal sensory stimulation","year":2016,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Electroencephalography; Scalp; Sensory stimulation therapy; Somatosensory system; Neuroscience; Traumatic brain injury; Medicine; Brain activity and meditation; Intensive care; Stimulus modality; Brain mapping; Modality (human–computer interaction); Neuroimaging; Sensory system; Psychology; Intensive care medicine; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002344848,0.0003693582,0.0002834131,0.0002223216,0.0001033022,0.0002351334,0.0002818295,0.0003225764,0.0006335932],"category_scores_gemma":[0.0004777566,0.0001739945,0.0002274754,0.0001830085,0.0002865037,0.0002128707,0.0004845044,0.000317928,0.0001181452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719881,"about_ca_system_score_gemma":0.000291209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007878525,"about_ca_topic_score_gemma":0.001408331,"domain_scores_codex":[0.9998552,0.00005970987,0.000006175906,0.00002275275,0.0000390919,0.00001712187],"domain_scores_gemma":[0.9998558,0.00006227094,0.00002826841,0.00001588382,0.00002044682,0.00001735159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001672961,0.0004544948,0.02605291,0.0004865522,0.0001492473,0.001768763,0.0004383615,0.01483794,0.8564702,0.0007753905,0.0006841427,0.096209],"study_design_scores_gemma":[0.0003748462,0.009459704,0.2802556,0.0001403093,0.0003030155,0.01106197,0.0007290649,0.1493319,0.5408747,0.001355191,0.005905415,0.000208196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017841,0.0004090793,0.09599834,0.0002011917,0.00002014129,0.0001778681,0.0002493954,0.0001925709,0.000967441],"genre_scores_gemma":[0.9412736,0.0004992401,0.05740422,0.00008612251,0.00002524518,0.0001878693,0.000176657,0.00002596852,0.000321153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007878525,"threshold_uncertainty_score":0.002119601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09448307262628033,"score_gpt":0.3571022518611889,"score_spread":0.2626191792349085,"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."}}