{"id":"W4400878014","doi":"10.1161/strokeaha.123.045871","title":"HERMES-24 Score Derivation and Validation for Simple and Robust Outcome Prediction After Large Vessel Occlusion Treatment","year":2024,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Calgary","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Maastricht Universitair Medisch Centrum; HLS Therapeutics; Servier; Stryker; Daiichi Sankyo Europe; Bayer HealthCare; National Stroke Foundation; CSL Behring; National Heart Foundation of Australia; Medical Research Council; Biogen; Abbott Laboratories","keywords":"Medicine; Cohort; Modified Rankin Scale; Logistic regression; Stroke (engine); Derivation; Thrombus; Internal medicine; Surgery; Ischemic stroke; Ischemia; Artery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02077908,0.001024081,0.001071943,0.0015013,0.0003030644,0.001173249,0.0009491593,0.0005792571,0.001366079],"category_scores_gemma":[0.0467574,0.0002070061,0.001504851,0.0009122443,0.0005266439,0.0005105907,0.001140781,0.001074468,0.0005449675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451814,"about_ca_system_score_gemma":0.001479393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156428,"about_ca_topic_score_gemma":0.001178867,"domain_scores_codex":[0.9919741,0.004993034,0.0007934088,0.0008214021,0.001142322,0.0002757957],"domain_scores_gemma":[0.9795138,0.01043112,0.004278386,0.00215426,0.002871357,0.0007511564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003066262,0.000388418,0.9159083,0.0001388789,0.001334911,0.0001658881,0.0001533056,0.01798128,0.001063099,0.0007244493,0.004583878,0.05449131],"study_design_scores_gemma":[0.00100606,0.003666247,0.836686,0.0001462013,0.0007379517,0.0006216526,0.0001214896,0.1460365,0.003154247,0.00266787,0.005051637,0.0001041475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569514,0.0004943967,0.03552373,0.0003246934,0.0001202873,0.0007499136,0.004010036,0.0001988325,0.001626733],"genre_scores_gemma":[0.9802478,0.00011056,0.01421572,0.00006843152,0.00005780853,0.0006323461,0.004394704,0.00003512245,0.000237417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077908,"threshold_uncertainty_score":0.1098917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809905107312087,"score_gpt":0.2877199227253074,"score_spread":0.2596208716521865,"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."}}