{"id":"W1867833955","doi":"10.1161/strokeaha.115.009215","title":"Hemodynamic Features of Symptomatic Vertebrobasilar Disease","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Medicine; Stenosis; Cardiology; Stroke (engine); Internal medicine; Vertebrobasilar insufficiency; Hemodynamics; Vertebral artery; Collateral circulation; Occlusion; Vascular disease; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005975088,0.0001029833,0.0002177266,0.00006494002,0.00001736277,0.000007377942,0.00006888476,0.00002673193,0.00007233547],"category_scores_gemma":[0.00009517962,0.00008489104,0.0002064844,0.00007167432,0.00006008582,0.00004865012,0.00002742722,0.00006048337,0.00004417271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559433,"about_ca_system_score_gemma":0.0001732522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408107,"about_ca_topic_score_gemma":0.000004651173,"domain_scores_codex":[0.9992093,0.00002526267,0.0001370065,0.000142782,0.000336476,0.0001491729],"domain_scores_gemma":[0.9991115,0.00001190231,0.00003525587,0.0003565913,0.00008212141,0.0004026183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003977856,0.001094937,0.9700029,0.0008752671,0.0004653563,0.00005141663,0.0003655583,0.00005914068,0.002185764,0.001675288,0.01470582,0.00812077],"study_design_scores_gemma":[0.004089529,0.0002702257,0.9905117,0.0002188854,0.0005067774,0.00006618365,0.0004824536,0.0005430244,0.001263267,0.0003827598,0.001472043,0.0001931927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854766,0.0006674964,0.00007191164,0.0002101618,0.0001337001,0.0002511187,0.0000866545,0.000067988,0.01303439],"genre_scores_gemma":[0.9981886,0.00001385696,0.0001482893,0.0001892498,0.00007376022,0.00001124444,0.00007149314,0.00001471069,0.001288861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02050876,"threshold_uncertainty_score":0.3461756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030962960302805,"score_gpt":0.2451914592785052,"score_spread":0.2348818296754772,"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."}}