{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003539589,0.0006269155,0.000749404,0.001704787,0.0007270472,0.0009921092,0.0002557188,0.0006405102,0.004763952],"category_scores_gemma":[0.0006418135,0.0002105196,0.0007294425,0.002024957,0.0002356399,0.0005802244,0.0008704006,0.0005616377,0.002279902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004562661,"about_ca_system_score_gemma":0.0005239465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047808,"about_ca_topic_score_gemma":0.002165796,"domain_scores_codex":[0.9993116,0.00006252827,0.00003398267,0.0002691056,0.0002383402,0.00008452131],"domain_scores_gemma":[0.9996473,0.00009819299,0.00007141996,0.00007363081,0.00004759025,0.00006194738],"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":[0.001695518,0.0001981052,0.06580239,0.001824746,0.0004908066,0.001398444,0.0002287535,0.004488167,0.8608679,0.003246702,0.02383177,0.03592667],"study_design_scores_gemma":[0.0001897971,0.0004339348,0.5081335,0.0002219723,0.0005688195,0.00579549,0.0005661682,0.03191216,0.1943266,0.009227128,0.2484941,0.0001302682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6802307,0.006175552,0.01714489,0.0007581034,0.00008153687,0.00008234229,0.2862893,0.001869131,0.007368487],"genre_scores_gemma":[0.4490279,0.002165051,0.02162145,0.0003044937,0.00007088071,0.0001217664,0.5222864,0.000220258,0.004181864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004763952,"threshold_uncertainty_score":0.01593703,"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."}}