{"id":"W2321724344","doi":"10.1097/ana.0000000000000074","title":"EEG as a Surrogate to Brain Imaging for Diagnosing Stroke in Morbidly Obese Patients","year":2014,"lang":"en","type":"article","venue":"Journal of Neurosurgical Anesthesiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Morbidly obese; Stroke (engine); Neuroimaging; Electroencephalography; Intensive care medicine; Internal medicine; Obesity; Psychiatry; Weight loss","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":[0.0009521913,0.0003605137,0.0004196113,0.001010923,0.0002197775,0.0007444059,0.0002683145,0.0004814025,0.001655567],"category_scores_gemma":[0.007289595,0.0001183031,0.0002549106,0.0007360833,0.0001480029,0.0005250425,0.0002700764,0.0009783108,0.0003840709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156661,"about_ca_system_score_gemma":0.0004328866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609114,"about_ca_topic_score_gemma":0.003667969,"domain_scores_codex":[0.9996283,0.0001445064,0.00007499174,0.00003162346,0.00008350477,0.00003711156],"domain_scores_gemma":[0.9978402,0.0009765203,0.0004921786,0.00005965869,0.0003613008,0.0002701366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002232377,0.0001636371,0.9493454,0.0001074215,0.00007860582,0.00121899,0.0000784915,0.0001954883,0.001274433,0.0001689999,0.003045624,0.04209055],"study_design_scores_gemma":[0.0002208536,0.001165629,0.9844477,0.0003837225,0.0002055323,0.005069498,0.0006183716,0.003420919,0.001343627,0.0007098115,0.002371975,0.0000422654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732026,0.01126219,0.001518688,0.003696445,0.0005880488,0.00008722091,0.001073532,0.00004811934,0.008522974],"genre_scores_gemma":[0.9923332,0.003923453,0.001880912,0.0003342012,0.0004055943,0.00004235945,0.0005054162,0.000009972677,0.0005648473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001655567,"threshold_uncertainty_score":0.005538464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013339635614925,"score_gpt":0.2765418289989258,"score_spread":0.2664084326427765,"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."}}