{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003741678,0.0003420227,0.0003965718,0.0008010108,0.0004581792,0.0003978344,0.0001815458,0.000514236,0.002686538],"category_scores_gemma":[0.001674131,0.0001230747,0.0001586957,0.0005424899,0.000345526,0.0002560982,0.0002329872,0.0003208701,0.0002401205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156673,"about_ca_system_score_gemma":0.0003290877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102297,"about_ca_topic_score_gemma":0.001321238,"domain_scores_codex":[0.999798,0.00003706042,0.00003262182,0.00005061687,0.00004963297,0.00003208683],"domain_scores_gemma":[0.9989911,0.0002185841,0.0004006747,0.00003713165,0.00009427348,0.0002583139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002614442,0.00004336982,0.9963779,0.00001801422,0.00002123418,0.0008204535,0.00005346068,0.00004050893,0.0008287326,0.0000233687,0.00009932422,0.001412206],"study_design_scores_gemma":[0.00001275652,0.000216559,0.9960448,0.000008742889,0.00001571207,0.003339478,0.00005286654,0.00009465752,0.0000893692,0.00004839099,0.00007317001,0.000003631935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984969,0.000356155,0.0000858546,0.00004990358,0.0000094733,0.00001018916,0.000239444,0.00000635906,0.000745678],"genre_scores_gemma":[0.999594,0.00006024153,0.00005888398,0.00001763922,0.00002764009,0.000004957977,0.0001908787,8.091098e-7,0.0000448788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002686538,"threshold_uncertainty_score":0.008987367,"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."}}