{"id":"W3144096565","doi":"10.1016/j.jstrokecerebrovasdis.2021.105806","title":"International Survey of Mechanical Thrombectomy Stroke Systems of Care During COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Stroke (engine); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Emergency medicine; Virology; Internal medicine; Engineering; Mechanical engineering; Infectious disease (medical specialty); Disease","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":[0.0009542829,0.0002424822,0.0002836807,0.001688837,0.0004206304,0.0008477924,0.0005784017,0.0004730178,0.002654777],"category_scores_gemma":[0.003692362,0.0002185805,0.0007138032,0.003595145,0.0002933854,0.0008994666,0.001220405,0.0008537153,0.000374385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037745,"about_ca_system_score_gemma":0.00162948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03400863,"about_ca_topic_score_gemma":0.03373445,"domain_scores_codex":[0.9986749,0.0001758109,0.0003051847,0.0001899137,0.0002269502,0.0004273279],"domain_scores_gemma":[0.9953432,0.0004168834,0.00253455,0.0001613387,0.0008003017,0.0007436849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004917644,0.00002635867,0.9947585,0.00004139369,0.00006951596,0.00004468108,0.0004922333,0.00008611651,0.00009040249,0.0001487744,0.001649033,0.002543736],"study_design_scores_gemma":[0.000001346323,0.00001931042,0.9980071,0.00002402677,0.000009110431,0.00005711577,0.0009014931,0.00006053085,0.00001938694,0.00001317577,0.0008838795,0.000003621945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777529,0.0008939434,0.0002023086,0.0008916641,0.00003032465,0.0000565629,0.0157279,0.00001596588,0.00442837],"genre_scores_gemma":[0.9922928,0.0005627148,0.0001178601,0.0002442831,0.00001808016,0.00004293115,0.006264067,0.000006882235,0.0004504727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03400863,"threshold_uncertainty_score":0.06762135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04877879036966468,"score_gpt":0.3543454676475286,"score_spread":0.3055666772778639,"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."}}