{"id":"W4416921845","doi":"10.1161/svi270000_029","title":"Abstract 029: A Comparison of Machine Learning Models for ICH Prognostication: An Analysis of ATACH‐2 and Qatar Stroke Database","year":2025,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Manitoba","funders":"","keywords":"Random forest; Brier score; Discriminative model; Test set; Leverage (statistics); Data set; Predictive modelling; Set (abstract data type)","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":[0.01496766,0.001348131,0.00130267,0.002449875,0.0004257878,0.001628464,0.001684295,0.001232892,0.002170392],"category_scores_gemma":[0.01378129,0.000236645,0.001936852,0.001358044,0.0003964954,0.001266805,0.0009307399,0.001049527,0.001085865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393312,"about_ca_system_score_gemma":0.001114462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085656,"about_ca_topic_score_gemma":0.01353765,"domain_scores_codex":[0.9961068,0.002056465,0.000320637,0.0006748661,0.0006583881,0.0001827406],"domain_scores_gemma":[0.9906884,0.005857849,0.0005580737,0.0009743255,0.001689103,0.0002322774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009928323,0.001841906,0.5793254,0.001290663,0.006859559,0.0005985626,0.0004158559,0.1388682,0.002866151,0.002183004,0.09249153,0.1633308],"study_design_scores_gemma":[0.0008447906,0.002419568,0.3168623,0.0003064615,0.001049819,0.0006700726,0.0005794047,0.6623453,0.002478542,0.00222429,0.01007557,0.0001438528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554541,0.004844536,0.007442928,0.001931714,0.0002390897,0.0001815327,0.02577256,0.001080967,0.003052564],"genre_scores_gemma":[0.9288087,0.0005711704,0.005203867,0.0004965732,0.0001067664,0.0001190062,0.06344077,0.0001215062,0.00113175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02085656,"threshold_uncertainty_score":0.07915747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04069601307631804,"score_gpt":0.3534143716670626,"score_spread":0.3127183585907446,"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."}}