{"id":"W2734901490","doi":"10.1111/ene.13351","title":"Utility of digital subtraction angiography‐based collateral evaluation in medically treated acute symptomatic basilar artery stenosis","year":2017,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Medicine; Digital subtraction angiography; Modified Rankin Scale; Basilar artery; Neuroradiology; Interquartile range; Stroke (engine); Radiology; Collateral circulation; Stenosis; Posterior cerebral artery; Angiography; Posterior inferior cerebellar artery; Internal medicine; Cardiology; Middle cerebral artery; Neurology; Vertebral artery; 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":[0.00107809,0.0002753316,0.0003221096,0.000801309,0.0002007657,0.0005349246,0.0002503304,0.0003563476,0.000555341],"category_scores_gemma":[0.005767395,0.0001068591,0.0002439545,0.0004398832,0.0002907715,0.0003297611,0.0002384796,0.0002496744,0.0001319046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493542,"about_ca_system_score_gemma":0.0003355201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008630307,"about_ca_topic_score_gemma":0.001794912,"domain_scores_codex":[0.9994429,0.0002459964,0.00009495093,0.00007277073,0.00009976258,0.00004370049],"domain_scores_gemma":[0.996214,0.001313927,0.001587773,0.0001524426,0.0003596748,0.0003721484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000456677,0.00006724074,0.9957319,0.00001346772,0.00002544095,0.0001757225,0.00003061311,0.00008921068,0.0003253109,0.00000916375,0.00005947373,0.003015851],"study_design_scores_gemma":[0.00002949803,0.0006414753,0.9962852,0.0000201439,0.00005078708,0.001235601,0.00008040724,0.001116305,0.0004055944,0.00002872046,0.00009718288,0.000009157184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991848,0.0003502335,0.00006291648,0.00003211495,0.000004088476,0.000005875681,0.00008952388,0.000004966977,0.0002654897],"genre_scores_gemma":[0.9997266,0.00006461314,0.00007107847,0.00001103653,0.00001031138,0.000004033006,0.00009530436,6.504797e-7,0.00001630307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107809,"threshold_uncertainty_score":0.005701542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866391967488941,"score_gpt":0.2832672054919466,"score_spread":0.2546032858170572,"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."}}