{"id":"W3099269015","doi":"10.1093/database/baaa096","title":"The IMEx coronavirus interactome: an evolving map of <i>Coronaviridae</i> –host molecular interactions","year":2020,"lang":"en","type":"article","venue":"Database","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Discovery Centre; University Health Network","funders":"H2020 European Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Cancer Institute; Wellcome Trust; National Human Genome Research Institute; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Eye Institute; National Institute on Aging; Associazione Italiana per la Ricerca sul Cancro; Fondation pour la Recherche Médicale; Canada Foundation for Innovation; European Molecular Biology Laboratory; Natural Sciences and Engineering Research Council of Canada; International Business Machines Corporation","keywords":"Interactome; Coronaviridae; Coronavirus disease 2019 (COVID-19); Coronavirus; Computational biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Proteomics; Biology; Computer science; Disease; Medicine; Genetics; Infectious disease (medical specialty); Gene","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":[0.0001445312,0.0001421167,0.0001196228,0.00001338736,0.0001129339,0.00005330573,0.0003835816,0.00005095851,0.00007338588],"category_scores_gemma":[0.00006031859,0.0001144762,0.0000795305,0.00005858818,0.00009297005,0.0000233262,0.000316086,0.0001709651,0.00004965748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009139587,"about_ca_system_score_gemma":0.00005008177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003860259,"about_ca_topic_score_gemma":0.00005903035,"domain_scores_codex":[0.9991077,0.00004622709,0.000305487,0.0002199396,0.0001118345,0.0002087722],"domain_scores_gemma":[0.9990566,0.00002208169,0.0001454863,0.0005423574,0.00008626406,0.0001471917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001947782,0.0000666663,0.0003389109,0.00003884334,0.00009449694,0.000008506819,0.0001890473,0.0001007752,0.9661389,0.0004961604,0.02281827,0.009514639],"study_design_scores_gemma":[0.0009331286,0.0005246769,0.0007057665,0.00005612231,0.00007415585,0.00003333965,0.0008503874,0.01603919,0.1857553,0.00006954799,0.7944581,0.0005003125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147621,0.006153769,0.06708673,0.003626632,0.001356732,0.0008072538,0.002747261,0.00006304847,0.003396411],"genre_scores_gemma":[0.9953229,0.0001128339,0.001398961,0.001414397,0.0002021076,0.00001169692,0.001433619,0.00002168417,0.00008182812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7803836,"threshold_uncertainty_score":0.4668205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022750701950962,"score_gpt":0.2844711788815303,"score_spread":0.2642436718620207,"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."}}