{"id":"W3205310050","doi":"10.1016/j.celrep.2021.109892","title":"Mechanistic insights into COVID-19 by global analysis of the SARS-CoV-2 3CLpro substrate degradome","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo; McMaster University; St. Paul's Hospital; University of British Columbia","funders":"Instytut Biologii Medycznej Polskiej Akademii Nauk; Canadian Institutes of Health Research; Stockholms Läns Landsting; Natural Sciences and Engineering Research Council of Canada; Narodowe Centrum Nauki; Knut och Alice Wallenbergs Stiftelse; Canada Research Chairs; Michael Smith Health Research BC; Canada Excellence Research Chairs, Government of Canada; Agencja Badań Medycznych; Canada Foundation for Innovation","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Biology; Betacoronavirus; Virology; Substrate (aquarium); Medicine; Ecology","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":[0.0001638917,0.0005310384,0.0002553794,0.000397372,0.0002597779,0.00064027,0.000198226,0.0002912492,0.002822853],"category_scores_gemma":[0.00007936612,0.0001642816,0.0004853161,0.0002773154,0.0002716973,0.0006427643,0.0003884699,0.0007053441,0.0005701801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054525,"about_ca_system_score_gemma":0.0003142609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005977437,"about_ca_topic_score_gemma":0.001203678,"domain_scores_codex":[0.9999182,0.000005497393,0.000005078182,0.00002450278,0.00002083614,0.00002573557],"domain_scores_gemma":[0.9999282,0.00000703604,0.00002663683,0.000008317287,0.00001085941,0.0000189538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000375366,0.00003053407,0.001322552,0.0001190974,0.00001998858,0.0002579082,0.00002073053,0.0005247106,0.9914576,0.001450433,0.000264079,0.00415695],"study_design_scores_gemma":[0.00002328992,0.0002909224,0.03912025,0.00002863606,0.00005805711,0.00194472,0.0002934822,0.009951903,0.9312214,0.001892148,0.01514954,0.00002564725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576853,0.008665259,0.02206898,0.0009156995,0.00009652432,0.00007359946,0.003367066,0.0002496691,0.00687786],"genre_scores_gemma":[0.9787417,0.004568618,0.01026274,0.0002371119,0.00002117074,0.00003454321,0.002837711,0.00006000961,0.003236523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002822853,"threshold_uncertainty_score":0.009443343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921741183498618,"score_gpt":0.3442815805178041,"score_spread":0.3050641686828179,"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."}}