{"id":"W6913242862","doi":"10.5683/sp2/jz77xa","title":"Comprehensive Prediction of the SARS-CoV-2 vs. Human Interactome using PIPE4, SPRINT, and PIPE-Sites","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interactome; Leverage (statistics); Pairwise comparison; Metadata; Protein–protein interaction; Human proteins; Interaction information; Biomedicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001575712,0.0005902133,0.0008512369,0.0003099403,0.000224893,0.0001289636,0.0008029853,0.0003528768,0.00001859381],"category_scores_gemma":[0.0001952683,0.0004818663,0.0002379942,0.0004280822,0.0004961108,0.0002199777,0.0009379296,0.0008026552,0.0000469494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163295,"about_ca_system_score_gemma":0.0001277373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06506614,"about_ca_topic_score_gemma":0.009586159,"domain_scores_codex":[0.997192,0.0003318633,0.0007620208,0.0007035292,0.0006500122,0.0003605995],"domain_scores_gemma":[0.9971793,0.0001210339,0.001004635,0.001294981,0.0003065456,0.00009347354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000831131,0.00006856093,0.0002810892,0.0003922927,0.0002040071,0.00002197919,0.0001449213,0.000003763468,0.1295983,0.00001197248,0.8691698,0.00002022957],"study_design_scores_gemma":[0.0005445939,0.0001077125,0.01756141,0.0004897891,0.0005363456,0.00007161042,0.00005945737,0.0001536461,0.01275449,0.00005671271,0.9673216,0.0003425635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01629207,0.000113014,0.000005050598,0.00005216295,0.0002004136,0.0006964721,0.9824489,0.000103016,0.00008891428],"genre_scores_gemma":[0.00959742,0.00006152914,0.00006456659,0.0003806246,0.0003588348,0.00001679567,0.9893922,0.0001253346,0.000002657493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1168438,"threshold_uncertainty_score":0.9997633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07783349202724608,"score_gpt":0.3221344189024333,"score_spread":0.2443009268751872,"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."}}