{"id":"W4404820473","doi":"10.1017/cjn.2024.301","title":"Cerebellar Vascular Malformation of Unknown Aetiology with Recent COVID-19 Infection","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Etiology; Coronavirus disease 2019 (COVID-19); Vascular malformation; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Pathology; Neuroscience; Biology; Infectious disease (medical specialty); Psychiatry; Outbreak; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002517694,0.000660186,0.0006747632,0.001801773,0.001263975,0.0008041376,0.0006445328,0.001599265,0.00750496],"category_scores_gemma":[0.002906868,0.0002629905,0.0004577329,0.00184924,0.001228359,0.001098293,0.0006507331,0.002036262,0.0008195931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430395,"about_ca_system_score_gemma":0.001328199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905768,"about_ca_topic_score_gemma":0.01928497,"domain_scores_codex":[0.9996247,0.00003321376,0.00003810246,0.00008754574,0.00008457215,0.0001317994],"domain_scores_gemma":[0.9985787,0.0003975461,0.0003936815,0.0001244264,0.0001260524,0.0003795792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00017465,0.00006551454,0.04068549,0.00008575107,0.00003424903,0.9489989,0.0001624048,0.0001350972,0.0009768311,0.0007045476,0.001930908,0.006045769],"study_design_scores_gemma":[0.00001803759,0.0001000731,0.05402383,0.00005506483,0.00004411854,0.9419061,0.0001192374,0.000362559,0.000546072,0.0006411111,0.002162426,0.00002144064],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037444,0.007812097,0.007248923,0.01006923,0.001094595,0.0002907684,0.003066284,0.0005545585,0.0661192],"genre_scores_gemma":[0.9926339,0.001523274,0.000901611,0.000739119,0.0003469228,0.00001439078,0.0004212873,0.00003374906,0.003385672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905768,"threshold_uncertainty_score":0.03789353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377916585511234,"score_gpt":0.2928335886197556,"score_spread":0.2550419300686322,"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."}}