{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541475,0.0002811408,0.0007548042,0.00007929719,0.0001178188,0.00006909306,0.0001161537,0.0001669975,0.0003371841],"category_scores_gemma":[0.0001786102,0.0002264649,0.00009574276,0.0001986812,0.0001591634,0.0001014716,0.0002041807,0.0004155132,0.0001661975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008513687,"about_ca_system_score_gemma":0.0002108477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006488763,"about_ca_topic_score_gemma":0.00002918905,"domain_scores_codex":[0.9978297,0.00006731968,0.000578204,0.000610352,0.0004146947,0.0004997415],"domain_scores_gemma":[0.9986687,0.0001143141,0.0001605374,0.0005942565,0.0001900813,0.000272104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006156667,0.0008187126,0.9167062,0.000469345,0.001289097,0.002964691,0.0003263032,0.00002268484,0.007270692,0.0002227846,0.05459739,0.01469645],"study_design_scores_gemma":[0.01754516,0.004564564,0.4667357,0.0008473163,0.002475973,0.001519146,0.002385895,0.0009455193,0.02716097,0.00006457693,0.4744015,0.001353716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947772,0.0007076765,0.001007771,0.002444499,0.0005094263,0.000852536,0.0001512548,0.0001492201,0.04640558],"genre_scores_gemma":[0.787977,0.0001743796,0.01705424,0.001042302,0.0002182103,0.00003462082,0.00008844282,0.00006036054,0.1933504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4499705,"threshold_uncertainty_score":0.923497,"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."}}