{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000455205,0.0002602492,0.0006960921,0.0001479027,0.0001634641,0.0000510361,0.0002248548,0.0001965198,0.00003884939],"category_scores_gemma":[0.0008515123,0.0001885498,0.0005094869,0.002988669,0.0002035235,0.00005908536,0.0001903776,0.000270339,0.00001587948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084121,"about_ca_system_score_gemma":0.002289868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496957,"about_ca_topic_score_gemma":0.001235317,"domain_scores_codex":[0.9969166,0.0001567127,0.0007744437,0.0007349484,0.001009688,0.0004075941],"domain_scores_gemma":[0.9975659,0.0001310287,0.0003733672,0.001414968,0.0003914788,0.0001232545],"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":[0.00008424804,0.000490427,0.08343318,0.000337004,0.0008197813,0.00781768,0.0003474752,0.000005508219,0.9033338,0.0002999227,0.00272557,0.0003053622],"study_design_scores_gemma":[0.0005423763,0.00007860945,0.004934066,0.00003105217,0.001678784,0.0003793002,0.0001734204,0.0003433685,0.9247872,0.003430622,0.06341515,0.0002061091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863411,0.002792402,0.001218537,0.0003632436,0.0002729056,0.0003797718,0.00001309874,0.00006030764,0.008558679],"genre_scores_gemma":[0.9827175,0.00001722412,0.000102827,0.01680134,0.00004454055,0.00002879795,0.00003981628,0.00002257745,0.000225353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07849912,"threshold_uncertainty_score":0.7688838,"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."}}