{"id":"W4306403434","doi":"10.1161/strokeaha.122.039717","title":"Comparison of Three Scores of Collateral Status for Their Association With Clinical Outcome: The HERMES Collaboration","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"National Institute for Health and Care Research","keywords":"Medicine; Modified Rankin Scale; Stroke (engine); Radiology; Collateral circulation; Angiography; Logistic regression; Computed tomographic angiography; Occlusion; Computed tomography angiography; Nuclear medicine; Internal medicine; Ischemic stroke; Ischemia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04129741,0.001039795,0.002866432,0.003384314,0.0004820599,0.001756131,0.0009247811,0.0008643051,0.002251562],"category_scores_gemma":[0.03810976,0.0004199026,0.005465601,0.002491599,0.0009796998,0.001004425,0.002106389,0.0005433257,0.0002214242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915218,"about_ca_system_score_gemma":0.001678751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688995,"about_ca_topic_score_gemma":0.004382476,"domain_scores_codex":[0.9627533,0.02539029,0.003156371,0.002902413,0.005162016,0.0006356117],"domain_scores_gemma":[0.9385794,0.03052302,0.0210229,0.004482973,0.00372294,0.001668791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05013861,0.0001490738,0.8565614,0.001154143,0.06444041,0.0001183559,0.0003048782,0.001293833,0.000392555,0.0007114634,0.001970181,0.02276508],"study_design_scores_gemma":[0.008032366,0.005112865,0.9444187,0.0005974743,0.03159693,0.0004075973,0.0003720733,0.002456662,0.0005176815,0.001434978,0.004901233,0.000151508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653376,0.02014428,0.002856843,0.0008551946,0.0002410504,0.0005544043,0.006198697,0.00003791244,0.003773907],"genre_scores_gemma":[0.9922758,0.002038952,0.001590115,0.0001323765,0.0002156042,0.0004883129,0.0025545,0.00001853379,0.0006858059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04129741,"threshold_uncertainty_score":0.2184042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038256680957288,"score_gpt":0.3707049342811163,"score_spread":0.3203223674715435,"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."}}