{"id":"W3138060940","doi":"10.1161/str.52.suppl_1.p243","title":"Abstract P243: Identifying Cerebral Venous Thrombosis Through Administrative Data: Icd-10 Case Ascertainment Depends on Clinical Context","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto; University of British Columbia","funders":"","keywords":"Medicine; Context (archaeology); Medical diagnosis; Diagnosis code; Medical record; Gold standard (test); ICD-10; Population; Pediatrics; Emergency medicine; Surgery; Internal medicine; Radiology; Psychiatry","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":[0.009286048,0.0002647444,0.0002934993,0.00266717,0.0004342586,0.001520022,0.001021575,0.0004361421,0.001678251],"category_scores_gemma":[0.06599738,0.0002107297,0.0004126585,0.003575351,0.00065225,0.0008568558,0.001230332,0.0006872575,0.000391545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981124,"about_ca_system_score_gemma":0.0008802811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004660363,"about_ca_topic_score_gemma":0.004817897,"domain_scores_codex":[0.9903395,0.004164868,0.00173411,0.0008244981,0.002321563,0.0006153888],"domain_scores_gemma":[0.8953751,0.05709602,0.03633597,0.005018184,0.005023657,0.001151047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002668362,0.000008659484,0.9971975,0.00002725541,0.00002006071,0.00009111654,0.00009381793,0.00006547186,0.00007820354,0.00006459922,0.0003603192,0.001966327],"study_design_scores_gemma":[0.000003509504,0.00002162607,0.9966875,0.00006011616,0.00002166811,0.0007011789,0.0002409897,0.001293042,0.0002659983,0.0001926993,0.0005060532,0.000005670042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881518,0.0007111158,0.003325213,0.0009570386,0.0000546482,0.0001488748,0.003272384,0.00002948766,0.003349432],"genre_scores_gemma":[0.9972051,0.0001486966,0.001392476,0.00009363603,0.00005104155,0.0000435573,0.001014943,0.000006122004,0.00004460431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009286048,"threshold_uncertainty_score":0.04910988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089435657391861,"score_gpt":0.434711693196682,"score_spread":0.2257681274574958,"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."}}