{"id":"W4302007860","doi":"10.1002/ana.26519","title":"A Causal Classification System for Intracerebral Hemorrhage Subtypes","year":2022,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; Population Health Research Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health; Foundation for the National Institutes of Health","keywords":"Intracerebral hemorrhage; Medicine; Neuroscience; Psychology; Internal medicine; Subarachnoid hemorrhage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005183913,0.0001116318,0.0003319323,0.0001837699,0.0001788415,0.000005892618,0.0001607867,0.00008441986,0.0002461807],"category_scores_gemma":[0.0001434643,0.0001039759,0.0001389604,0.0002097815,0.00008875111,0.00004374645,0.00009536209,0.0003853744,0.00001843506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731618,"about_ca_system_score_gemma":0.000122142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000318989,"about_ca_topic_score_gemma":0.000003589683,"domain_scores_codex":[0.9985555,0.000157745,0.0003222259,0.0002986049,0.0002841614,0.0003817888],"domain_scores_gemma":[0.9991068,0.0001600303,0.000122053,0.0002949371,0.000217559,0.00009865674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03815151,0.003571986,0.06231721,0.007951087,0.0005170443,0.002204112,0.001484982,0.0003785286,0.4056509,0.1770166,0.06567544,0.2350806],"study_design_scores_gemma":[0.01018413,0.03568346,0.08972467,0.00004347542,0.0003857595,0.01010368,0.003177088,0.6492754,0.1558586,0.002993691,0.04148123,0.001088884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727893,0.0001875719,0.0002390207,0.02377966,0.0002626001,0.0006228084,0.00006744496,0.00006808218,0.001983501],"genre_scores_gemma":[0.9965901,0.000008189698,0.0004272989,0.001871162,0.0001884314,0.0002097918,0.0000711459,0.00002500799,0.0006088912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6488968,"threshold_uncertainty_score":0.4240013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08535251114210646,"score_gpt":0.3463130806363527,"score_spread":0.2609605694942463,"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."}}