{"id":"W4391447895","doi":"10.1161/str.55.suppl_1.wp248","title":"Abstract WP248: Developing and Validating Post-Treatment HERMES Score to Predict Outcome From Anterior Circulation Large Vessel Occlusion Stroke: A Meta-Analysis of Individual Data From 7 Randomized Clinical Trials","year":2024,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Cohort; Modified Rankin Scale; Stroke (engine); Quality Score; Derivation; Internal medicine; Statistics; Ischemic stroke; Operations management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04308932,0.003017129,0.007520198,0.002764408,0.0004928913,0.003244026,0.002111652,0.001551573,0.003895141],"category_scores_gemma":[0.05488915,0.0008605636,0.03126116,0.00342752,0.0007255265,0.001713934,0.001405453,0.001838122,0.0005937229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070441,"about_ca_system_score_gemma":0.001537716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320622,"about_ca_topic_score_gemma":0.002538374,"domain_scores_codex":[0.9748135,0.01819957,0.002520789,0.002501339,0.001604701,0.0003602256],"domain_scores_gemma":[0.9348491,0.05003195,0.006193854,0.005632457,0.002674332,0.0006182824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01038534,0.00005908751,0.047518,0.01711855,0.9029521,0.0001157286,0.00004746361,0.003355907,0.0004557643,0.0002008022,0.002001375,0.01578997],"study_design_scores_gemma":[0.003451311,0.001093805,0.04026981,0.002004263,0.944057,0.0001610545,0.00004100927,0.004318172,0.0004707795,0.001247352,0.002819667,0.00006567539],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.276498,0.6458765,0.03780386,0.004844817,0.001949622,0.001841922,0.02714125,0.0008428674,0.003201199],"genre_scores_gemma":[0.946666,0.03178281,0.008824775,0.001179813,0.0007186859,0.001243833,0.008487715,0.0002056734,0.0008906873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04308932,"threshold_uncertainty_score":0.2278808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2534028417807881,"score_gpt":0.4455561382367973,"score_spread":0.1921532964560093,"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."}}