{"id":"W3083163994","doi":"10.1101/2020.09.03.282103","title":"A SARS-CoV-2 – host proximity interactome","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Genome Canada; Ontario Genomics; Canadian Institutes of Health Research; Government of Ontario; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Interactome; Biotinylation; Proteome; Viral life cycle; Biology; Computational biology; Context (archaeology); Host (biology); Viral protein; Protein–protein interaction; Viral replication; Virus; Viral entry; Cell biology; Virology; Bioinformatics; Genetics; Biochemistry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002294473,0.0006548005,0.0005683931,0.0001007202,0.0001585026,0.0001404001,0.0006589409,0.001103392,0.000008466916],"category_scores_gemma":[0.0002706375,0.0006394642,0.0002979873,0.0002413294,0.0002030312,0.000008066208,0.001546044,0.001059143,0.0001139139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007137501,"about_ca_system_score_gemma":0.0003550491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002545559,"about_ca_topic_score_gemma":0.000004064778,"domain_scores_codex":[0.9973159,0.0001225535,0.0004744681,0.001295337,0.0002539549,0.0005377973],"domain_scores_gemma":[0.998038,0.00001266928,0.000340122,0.001097583,0.0003403129,0.0001713458],"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":[0.00006781328,0.0001126615,0.00115379,0.0002641275,0.0004910631,0.00004116332,0.000009339526,0.000001513071,0.9905304,0.00006092293,0.007266259,9.392077e-7],"study_design_scores_gemma":[0.0004164297,0.0001273678,0.007799955,0.0001969081,0.0001108927,3.476001e-8,0.000002685355,0.00004284051,0.9338228,0.000001137887,0.05671731,0.0007617008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900591,0.004238838,0.0008575172,0.001432861,0.001882373,0.0008328877,0.0003044507,0.0002649927,0.0001269841],"genre_scores_gemma":[0.9946777,0.001192201,0.001890566,0.001077529,0.0009057805,0.0001049278,0.000001820533,0.0001362243,0.00001323265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05670767,"threshold_uncertainty_score":0.9996057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886695675420431,"score_gpt":0.2464811031818164,"score_spread":0.2276141464276121,"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."}}