{"id":"W3138475122","doi":"10.1136/svn-2020-000695","title":"Decline in subarachnoid haemorrhage volumes associated with the first wave of the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Stroke and Vascular Neurology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Calgary; University of Ottawa; Health Sciences Centre; University of Toronto; Dalhousie University; University of Saskatchewan; Université Laval; Centre hospitalier universitaire de Québec","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; Emory University","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Subarachnoid haemorrhage; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Internal medicine; Radiology; Outbreak; Disease; Infectious disease (medical specialty); Aneurysm","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":[0.0004983325,0.0001298535,0.0003639343,0.00006094709,0.0001338958,0.000008143712,0.0000962833,0.000158846,0.00005287506],"category_scores_gemma":[0.001451756,0.00007217305,0.0001129244,0.0002875443,0.0002242186,0.00002322321,0.0001243901,0.0004910086,0.000001474396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004096396,"about_ca_system_score_gemma":0.0005705372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007734039,"about_ca_topic_score_gemma":0.02308024,"domain_scores_codex":[0.9987279,0.0002681649,0.0002223662,0.0002681529,0.0002198112,0.0002935577],"domain_scores_gemma":[0.9987423,0.000516217,0.0001021238,0.0004272189,0.00008206865,0.0001300876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001983825,0.00008593672,0.9964394,0.0001492626,0.00006877972,0.0002798781,0.0005411967,0.00003480136,0.0004010404,0.00004148033,0.0005959728,0.001163859],"study_design_scores_gemma":[0.002942162,0.0005158705,0.9602661,0.00001751498,0.0001655477,0.0003505403,0.00009791043,0.0005860576,0.000137696,0.00005836605,0.03478444,0.00007785184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100361,0.001139555,0.0000583818,0.08829286,0.00006562413,0.0002889746,0.00001858228,0.0000210648,0.00007879122],"genre_scores_gemma":[0.9432975,0.0002110176,0.000007453972,0.05616659,0.00004630955,0.00001023344,0.00001187435,0.00001394322,0.0002350661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03617337,"threshold_uncertainty_score":0.994746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945121811021882,"score_gpt":0.3109653972193728,"score_spread":0.261514179109154,"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."}}