{"id":"W4281770875","doi":"10.5853/jos.2022.00752","title":"Global Impact of the COVID-19 Pandemic on Cerebral Venous Thrombosis and Mortality","year":2022,"lang":"en","type":"article","venue":"Journal of Stroke","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genentech; Ministerstvo Školství, Mládeže a Tělovýchovy; Bristol-Myers Squibb; Siemens Foundation; Penumbra; Stryker; Norsvin; Medtronic","keywords":"Medicine; Pandemic; Confidence interval; Coronavirus disease 2019 (COVID-19); Stroke (engine); Venous thrombosis; Incidence (geometry); Retrospective cohort study; Mortality rate; Emergency medicine; Intracranial Thrombosis; Thrombosis; Pediatrics; Internal medicine; Disease; Infectious disease (medical specialty)","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":[0.0009844899,0.0003086145,0.000317415,0.0009883718,0.0002690661,0.0008928903,0.0002977682,0.0004877504,0.002301692],"category_scores_gemma":[0.003034651,0.0001340371,0.0005922283,0.001552839,0.0004597996,0.0007954024,0.0009348458,0.0007442356,0.0002573443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475201,"about_ca_system_score_gemma":0.0007073483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0096554,"about_ca_topic_score_gemma":0.01077416,"domain_scores_codex":[0.9992836,0.0002429555,0.00007391366,0.0001408325,0.0001074666,0.0001513451],"domain_scores_gemma":[0.9976681,0.0003351112,0.001299308,0.00009894622,0.0003040973,0.00029444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009823294,0.00001695254,0.9868687,0.0001586037,0.000189035,0.0001463548,0.000115827,0.0003770059,0.00008835136,0.00029769,0.002085629,0.009557618],"study_design_scores_gemma":[0.000005451729,0.00005609264,0.9960307,0.0002685853,0.00006570909,0.0003482528,0.0004712446,0.0003106382,0.00004161238,0.0002557751,0.002136687,0.000009151642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338067,0.03412911,0.0006578893,0.006194392,0.0004237796,0.00004250167,0.01558206,0.00005749483,0.009106096],"genre_scores_gemma":[0.9876638,0.007450635,0.0002862028,0.0005709466,0.000247679,0.00002439645,0.003597656,0.00000845104,0.0001502108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0096554,"threshold_uncertainty_score":0.01919836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06871416756477393,"score_gpt":0.3657391311644474,"score_spread":0.2970249635996735,"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."}}