{"id":"W3135249527","doi":"10.1161/strokeaha.120.032242","title":"Favorable Venous Outflow Profiles Correlate With Favorable Tissue-Level Collaterals and Clinical Outcome","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Interquartile range; Modified Rankin Scale; Stroke (engine); Computed tomography angiography; Odds ratio; Occlusion; Angiography; Radiology; Intracerebral hemorrhage; Nuclear medicine; Internal medicine; Ischemia; Ischemic stroke; Subarachnoid hemorrhage","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":[0.0003974383,0.0002516813,0.0002899297,0.0005017603,0.0003096936,0.0005426397,0.000176586,0.0003237938,0.002746956],"category_scores_gemma":[0.002190023,0.0001855337,0.0002798081,0.0004313292,0.0003060178,0.0003457776,0.000336961,0.0003588447,0.0002803133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477921,"about_ca_system_score_gemma":0.0002867474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007994225,"about_ca_topic_score_gemma":0.001281141,"domain_scores_codex":[0.9997626,0.00004786365,0.000035104,0.00005263436,0.00003767679,0.00006413159],"domain_scores_gemma":[0.9982262,0.0002462694,0.001031099,0.0000997012,0.000101637,0.0002950423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105561,0.0000163172,0.9992317,0.00000271832,0.00001976797,0.0000625831,0.000009233553,0.00002007961,0.000141457,0.000007986646,0.00002521177,0.0003573014],"study_design_scores_gemma":[0.00001002951,0.0001149051,0.9988415,0.000003417449,0.00002090439,0.0006390701,0.00005134401,0.00016698,0.00006772505,0.0000362078,0.00004524909,0.000002702105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999595,0.00005933461,0.00005615192,0.00001808258,0.00000216882,0.000004211864,0.0001094624,0.000002144775,0.0001534343],"genre_scores_gemma":[0.9997458,0.00002267272,0.00004041537,0.000007585326,0.000009643289,0.000003875133,0.0001321274,6.33398e-7,0.00003714939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002746956,"threshold_uncertainty_score":0.009189546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652051559197782,"score_gpt":0.3251745293296504,"score_spread":0.2786540137376725,"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."}}