{"id":"W3082059062","doi":"10.1101/2020.08.28.272955","title":"Global BioID-based SARS-CoV-2 proteins proximal interactome unveils novel ties between viral polypeptides and host factors involved in multiple COVID19-associated mechanisms","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":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"European Regional Development Fund; Agence Nationale de la Recherche; Hellenic Foundation for Research and Innovation; European Commission","keywords":"Interactome; Proteome; Computational biology; Biology; Biotinylation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Interaction network; Protein–protein interaction; Coronavirus disease 2019 (COVID-19); Proteomics; Cell biology; Genetics; Gene; Disease; Medicine; Molecular biology; Infectious disease (medical specialty)","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003198142,0.0008570254,0.0008727981,0.0001754946,0.0001881736,0.0001857546,0.000515904,0.001452218,0.000001763059],"category_scores_gemma":[0.0007116289,0.0008290975,0.0002206855,0.0004093681,0.0003212754,0.00001716654,0.0009905098,0.000808929,0.000004984855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255922,"about_ca_system_score_gemma":0.0005560087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004674935,"about_ca_topic_score_gemma":0.000170926,"domain_scores_codex":[0.9967799,0.0001737363,0.0006811728,0.001339615,0.0003187676,0.0007068347],"domain_scores_gemma":[0.9984007,0.00004846306,0.0004910437,0.0005889384,0.000263275,0.0002075782],"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":[0.0001056506,0.000196051,0.1508694,0.0002350835,0.000425174,0.00001285421,0.00001872267,0.000005278097,0.8480228,0.00004246015,0.00006580783,6.776538e-7],"study_design_scores_gemma":[0.001500324,0.0002889819,0.1889418,0.0003492759,0.00009999259,8.756571e-9,0.00002277564,0.0002118578,0.8074742,0.000003068875,0.000291185,0.0008165502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932713,0.0008861346,0.001690838,0.0003315008,0.0004081332,0.001317386,0.001912185,0.0001790931,0.000003467469],"genre_scores_gemma":[0.9958503,0.0001231917,0.00326505,0.0003232273,0.0001815985,0.0001291983,0.00001792317,0.0001075815,0.000001986459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0405486,"threshold_uncertainty_score":0.9998441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635901530788495,"score_gpt":0.243064362763811,"score_spread":0.216705347455926,"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."}}