{"id":"W4309639772","doi":"10.1101/2022.11.20.22282552","title":"Use of whole genome sequencing to identify low-frequency mutations in COVID-19 patients treated with remdesivir","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Sinai Health System; Dalhousie University; University of Toronto; Sunnybrook Health Science Centre","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Institutes of Health Research; Dalhousie University","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Mutation; Biology; Virology; Internal medicine; Gene; Disease; Genetics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002019376,0.0002171627,0.0003824125,0.000454982,0.0002494215,0.0004644483,0.0001455233,0.0003072517,0.0008041786],"category_scores_gemma":[0.0007066517,0.0001109701,0.0001916642,0.0002859132,0.000158874,0.0001303964,0.000179554,0.0002523065,0.0001427657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960252,"about_ca_system_score_gemma":0.0001428325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591414,"about_ca_topic_score_gemma":0.001743686,"domain_scores_codex":[0.9997993,0.000048163,0.00001818115,0.00006075295,0.00003849786,0.00003510991],"domain_scores_gemma":[0.9997609,0.00007808348,0.00006781869,0.00001556175,0.00003246782,0.00004524956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001279807,0.0001190929,0.914254,0.00004175006,0.00006698768,0.0008219182,0.0002745977,0.0002935584,0.06907935,0.00005330578,0.0002091339,0.0135065],"study_design_scores_gemma":[0.0000332256,0.0006466517,0.9880152,0.000008987442,0.00004629347,0.001796325,0.0002753612,0.0009950025,0.007582169,0.00004277414,0.0005518246,0.000006097276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992816,0.0001292008,0.0001651216,0.00001636722,0.000001853992,0.000007825125,0.0001993183,0.000003836739,0.0001949326],"genre_scores_gemma":[0.9988831,0.00006824085,0.0004350497,0.00004295322,0.00000502684,0.000007634791,0.0004331425,0.000004015563,0.0001208318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591414,"threshold_uncertainty_score":0.003164232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09277550340120075,"score_gpt":0.3760360015188334,"score_spread":0.2832604981176327,"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."}}