{"id":"W2895982650","doi":"10.1161/str.49.suppl_1.116","title":"Abstract 116: Conventional and Automated Aspects vs. Ct Perfusion Core Volume to Predict Functional Outcome in Reperfused Acute Ischemic Stroke Patients Undergoing Endovascular Therapy","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Perfusion scanning; Modified Rankin Scale; Perfusion; Stroke (engine); Internal medicine; Diabetes mellitus; Radiology; Cardiology; Nuclear medicine; Ischemic stroke; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001308665,0.000480319,0.0004969491,0.0009113586,0.0001538489,0.0006115242,0.0003612335,0.0005017369,0.001402594],"category_scores_gemma":[0.004455601,0.0002001718,0.0003838008,0.0004966839,0.0002955409,0.00051526,0.0004127784,0.0002862705,0.0003371561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030464,"about_ca_system_score_gemma":0.0001573327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006657496,"about_ca_topic_score_gemma":0.0009305408,"domain_scores_codex":[0.9994666,0.0001697965,0.00009121802,0.00009438783,0.0001306988,0.00004727854],"domain_scores_gemma":[0.9978068,0.0007530848,0.0007378354,0.0001304882,0.0002911676,0.0002805384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002388371,0.00006860385,0.9921812,0.00002359654,0.0001921807,0.00005078731,0.00003785461,0.0003302507,0.0004111401,0.00001149487,0.0001341453,0.004170473],"study_design_scores_gemma":[0.0001381764,0.0008735389,0.9956749,0.000009084515,0.00007707689,0.0002578801,0.00004571561,0.002510668,0.0002458094,0.00004891527,0.0001102024,0.000008088739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992422,0.0001024666,0.0001423339,0.00001172503,0.000004942775,0.00001643681,0.0002019996,0.000005640586,0.0002723126],"genre_scores_gemma":[0.9991703,0.00003068419,0.0001825308,0.000009943132,0.00001412662,0.00001926519,0.0004747905,0.000002400176,0.00009588392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402594,"threshold_uncertainty_score":0.006920934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880041249988561,"score_gpt":0.2643904536526829,"score_spread":0.2455900411527973,"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."}}