{"id":"W3048891277","doi":"10.1083/jcb.202006159","title":"Crippling life support for SARS-CoV-2 and other viruses through synthetic lethality","year":2020,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Office of the Provost and Executive Vice President, George Mason University; National Institute of General Medical Sciences; George Mason University; G. Harold and Leila Y. Mathers Charitable Foundation","keywords":"Cripple; Viral life cycle; Lethality; Virology; Limiting; Virus; Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Disease; Host (biology); Infectious disease (medical specialty); Viral replication; Medicine; Genetics","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":[0.0003576657,0.0004294497,0.0002994533,0.000274678,0.0002964852,0.0005975828,0.0003140752,0.0004502364,0.00217403],"category_scores_gemma":[0.0002735278,0.0001146951,0.0003453906,0.00009204681,0.0005230914,0.0004979147,0.0006431919,0.001001884,0.00047005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128881,"about_ca_system_score_gemma":0.0003126265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002386912,"about_ca_topic_score_gemma":0.0004325224,"domain_scores_codex":[0.9998024,0.00005138508,0.00001254306,0.00002815562,0.00006068469,0.0000449471],"domain_scores_gemma":[0.9998568,0.00003263609,0.00004558491,0.00001846961,0.00001392253,0.00003252046],"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":[0.0003374457,0.0002055869,0.0005413906,0.0002350367,0.00002470041,0.0004303489,0.0001261801,0.001432108,0.9690479,0.008592716,0.001011612,0.01801494],"study_design_scores_gemma":[0.0001241429,0.003526581,0.00197335,0.00009925814,0.00005402719,0.002041918,0.0002480785,0.005630432,0.9144229,0.003168624,0.06866597,0.00004465568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986003,0.02249124,0.05131027,0.002938636,0.0006877595,0.0003262878,0.0009054493,0.0004575971,0.02228249],"genre_scores_gemma":[0.9797569,0.005672687,0.009196311,0.0004212782,0.00005850986,0.0001112261,0.0004728425,0.00003181905,0.004278318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00217403,"threshold_uncertainty_score":0.00727284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1527830106103415,"score_gpt":0.4052233766015689,"score_spread":0.2524403659912274,"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."}}