{"id":"W2256177700","doi":"10.1161/strokeaha.115.012279","title":"Cortical Venous Filling on Dynamic Computed Tomographic Angiography","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Confidence interval; Middle cerebral artery; Radiology; Angiography; Logistic regression; Occlusion; Cardiology; Internal medicine; Poisson regression; Ischemia; Ischemic stroke","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":[0.0005481103,0.0002930578,0.0002089,0.000909513,0.0001441236,0.0004440729,0.0001859224,0.0002074485,0.001071644],"category_scores_gemma":[0.006560638,0.0001451507,0.000166866,0.0003877133,0.0003677419,0.0002584747,0.0002956576,0.0002171269,0.0001359256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005308,"about_ca_system_score_gemma":0.0002568328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185955,"about_ca_topic_score_gemma":0.001498731,"domain_scores_codex":[0.9997041,0.000102651,0.00002306815,0.00003964188,0.00007680046,0.00005371603],"domain_scores_gemma":[0.997893,0.001066172,0.0005777435,0.0001137751,0.0001845929,0.0001646333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002732975,0.00001244982,0.9924543,0.00001049747,0.00003353964,0.0007830523,0.00002496813,0.0003662566,0.001285726,0.00003983068,0.00007575712,0.004640387],"study_design_scores_gemma":[0.00001334352,0.0001455775,0.9874519,0.00001925923,0.00005054918,0.007920221,0.00004678799,0.003051972,0.0008911262,0.0001779066,0.000222769,0.000008757999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978569,0.0002823891,0.0007810866,0.00002522335,0.000003197124,0.000008660302,0.0001014576,0.00001317937,0.0009278128],"genre_scores_gemma":[0.9996918,0.00004301597,0.0001677755,0.000005787777,0.000005563153,0.000002624694,0.00004837015,0.000001118105,0.00003386026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001185955,"threshold_uncertainty_score":0.003584981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009493245373486255,"score_gpt":0.2443741720405594,"score_spread":0.2348809266670731,"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."}}