{"id":"W3030589551","doi":"10.1007/s12028-020-01005-2","title":"CT Perfusion for the Detection of Delayed Cerebral Ischemia in the Presence of Neurologic Confounders","year":2020,"lang":"en","type":"article","venue":"Neurocritical Care","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Medicine; Confounding; Neurology; Ischemia; Perfusion; Cerebral perfusion pressure; Cardiology; Brain ischemia; Anesthesia; Internal medicine; 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":[0.000751311,0.0008690783,0.0005895478,0.001769771,0.0004884141,0.0008778626,0.0005587741,0.0008108654,0.003109341],"category_scores_gemma":[0.00430624,0.0002468207,0.0004131168,0.001003459,0.0004724424,0.0006426702,0.0003067714,0.001038446,0.0003070514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865855,"about_ca_system_score_gemma":0.001242009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793169,"about_ca_topic_score_gemma":0.004894202,"domain_scores_codex":[0.9997463,0.00007392856,0.00004102676,0.00004021535,0.0000454292,0.00005322955],"domain_scores_gemma":[0.9991089,0.0003173078,0.0002266739,0.00004637248,0.0001620619,0.0001386728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003355491,0.0002166742,0.9485712,0.0002758619,0.0002505516,0.007618549,0.0001232079,0.000718769,0.00617061,0.0007258732,0.002762112,0.02921111],"study_design_scores_gemma":[0.0002615704,0.001927701,0.9389588,0.0006308347,0.0009583014,0.03376661,0.0003731973,0.006754473,0.008494875,0.001847615,0.005950521,0.00007547277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567603,0.01813067,0.00397051,0.002550067,0.0003129723,0.0002142942,0.001264395,0.0000639997,0.01673284],"genre_scores_gemma":[0.9931048,0.003554906,0.001606907,0.0002311571,0.0001988153,0.00005510974,0.0004210185,0.000007678806,0.0008196438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003793169,"threshold_uncertainty_score":0.01040179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263828977973037,"score_gpt":0.2784973944262775,"score_spread":0.2521144966289738,"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."}}