{"id":"W3026670925","doi":"10.1213/ane.0000000000004985","title":"Technologies to Optimize the Care of Severe COVID-19 Patients for Health Care Providers Challenged by Limited Resources","year":2020,"lang":"en","type":"review","venue":"Anesthesia & Analgesia","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Society for Neuroscience in Anesthesiology and Critical Care","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; MEDLINE; Betacoronavirus; Intensive care medicine; Medical emergency; Virology; Internal medicine; Outbreak","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":[0.001056681,0.0005889786,0.0005515379,0.001583238,0.0003328542,0.00121272,0.0007235262,0.001056955,0.005852396],"category_scores_gemma":[0.003610827,0.0001745934,0.001104027,0.0007897462,0.0003191108,0.001669304,0.0008144769,0.001259253,0.001708599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006485596,"about_ca_system_score_gemma":0.001889348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666758,"about_ca_topic_score_gemma":0.00244677,"domain_scores_codex":[0.999293,0.0002158369,0.0001199809,0.00007369601,0.0002358383,0.00006164724],"domain_scores_gemma":[0.9987796,0.0005691718,0.0002138695,0.00003857768,0.0003355735,0.00006328957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001030838,0.0001128121,0.00147513,0.02368107,0.0001533632,0.000536831,0.0003635902,0.0005718094,0.00309668,0.005345757,0.03653562,0.9280242],"study_design_scores_gemma":[0.00003981602,0.0004013671,0.004842131,0.02326535,0.0005276374,0.002690395,0.0007863679,0.0004677507,0.003763716,0.004268228,0.9588881,0.00005923056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003326027,0.9657011,0.006065339,0.009386448,0.001668473,0.0001082017,0.0002690493,0.0001549552,0.01332043],"genre_scores_gemma":[0.01922159,0.9600177,0.01360631,0.002963526,0.0008220393,0.0001562328,0.0002754621,0.00002910111,0.002908044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005852396,"threshold_uncertainty_score":0.01957822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927367698333185,"score_gpt":0.3361057934044966,"score_spread":0.2968321164211648,"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."}}