{"id":"W3146305827","doi":"10.7717/peerj.11117","title":"Multi-schema computational prediction of the comprehensive SARS-CoV-2 vs. human interactome","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Carleton University","keywords":"Interactome; Computational biology; Pairwise comparison; Biology; Confidence interval; Bioinformatics; Computer science; Genetics; Medicine; Artificial intelligence; 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":[0.00004429379,0.00007609322,0.00009764837,0.00001122729,0.00006450754,0.00001335255,0.0001103074,0.00007580969,0.00001006277],"category_scores_gemma":[0.00001518042,0.00006233666,0.00009221333,0.00005155957,0.00005971235,0.000002590521,0.0001445458,0.00008058941,0.000004548938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007867123,"about_ca_system_score_gemma":0.0000411027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007126875,"about_ca_topic_score_gemma":0.00001929703,"domain_scores_codex":[0.999471,0.00002401695,0.0001992105,0.0001196639,0.00009172095,0.00009437237],"domain_scores_gemma":[0.9994893,0.000008438769,0.00009375662,0.0002048928,0.0001875104,0.00001610816],"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":[0.00001167272,0.00005403983,0.00147088,0.00002643218,0.00006021228,6.507518e-7,0.0001219392,0.0007845014,0.9890069,0.000144313,0.007920235,0.0003982745],"study_design_scores_gemma":[0.001223865,0.0001060376,0.07208729,0.00004632039,0.00003231142,0.00004984851,0.0001479621,0.01922915,0.8499174,0.0004272085,0.05656224,0.0001703461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913977,0.0002018893,0.007083845,0.0002311625,0.0002624132,0.00009007479,0.00007839852,0.000005963365,0.0006485984],"genre_scores_gemma":[0.9956777,0.000009081508,0.002966298,0.0005845149,0.00009908664,0.00000360601,0.0003228361,0.000007693967,0.0003291887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1390894,"threshold_uncertainty_score":0.2542016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916797197071512,"score_gpt":0.2863720622244643,"score_spread":0.2572040902537491,"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."}}