{"id":"W3205620409","doi":"10.15252/msb.202110387","title":"COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Bundesministerium für Bildung und Forschung; Association Nationale de la Recherche et de la Technologie; National Institute of General Medical Sciences; Horizon 2020 Framework Programme; ZonMw; Biotechnology and Biological Sciences Research Council; H2020 Marie Skłodowska-Curie Actions; National Human Genome Research Institute; Fonds National de la Recherche Luxembourg; Deutsches Zentrum für Infektionsforschung; H2020 LEIT Information and Communication Technologies; European Commission","keywords":"Interoperability; Data science; Computer science; Representation (politics); Resource (disambiguation); Computational model; Perspective (graphical); Biology; Computational biology; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001493799,0.0001559726,0.0002212704,0.0000462758,0.00006570968,0.0000227255,0.0001416144,0.000195736,0.00000885641],"category_scores_gemma":[0.00003294415,0.0001560793,0.0001246803,0.00008250173,0.00007598071,0.000003405418,0.000153189,0.00008763759,0.00001668779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002303732,"about_ca_system_score_gemma":0.0002144144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002548761,"about_ca_topic_score_gemma":0.000005697415,"domain_scores_codex":[0.9988148,0.0001989859,0.0004223043,0.0003013631,0.00007135646,0.0001911424],"domain_scores_gemma":[0.9990875,0.00001782575,0.0001989339,0.000350985,0.0002364329,0.0001083454],"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":[0.00008107687,0.0001074892,0.0001394571,0.0001661056,0.0001758752,0.00002530748,0.00004398535,0.002773044,0.970898,0.02401953,0.001266918,0.0003031759],"study_design_scores_gemma":[0.003529887,0.001252089,0.001374798,0.0004892708,0.0003121195,0.0006985914,0.0007207767,0.06780323,0.626688,0.009858232,0.2855502,0.001722846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238299,0.01130555,0.8589082,0.0001224279,0.00242493,0.0003593522,0.0001735514,0.00002423207,0.002851844],"genre_scores_gemma":[0.996274,0.00002672324,0.002075473,0.0001613952,0.0001451519,0.00002931367,0.0007762432,0.0000188824,0.0004928175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.872444,"threshold_uncertainty_score":0.636473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006832483697214791,"score_gpt":0.2423652035600461,"score_spread":0.2355327198628313,"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."}}