{"id":"W3193501897","doi":"10.3390/v13081667","title":"Peptide Platform as a Powerful Tool in the Fight against COVID-19","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Leibniz-Gemeinschaft; Fondazione Roma; Deutsches Primatenzentrum; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Dipeptidyl peptidase-4; Virology; Antibody; Viral entry; Coronavirus; Neutralizing antibody; Middle East respiratory syndrome coronavirus; Glycoprotein; Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Neutralization; Pandemic; Computational biology; Coronavirus disease 2019 (COVID-19); Virus; Medicine; Immunology; Infectious disease (medical specialty); Viral replication; Molecular biology; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004516753,0.0001540798,0.0002371879,0.0001550504,0.00009460463,0.00007940971,0.0002440028,0.0001045362,0.0002622903],"category_scores_gemma":[0.002165415,0.0001035867,0.0001085556,0.000607576,0.00008561616,0.0001372849,0.0001043969,0.0003743966,0.001107704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749608,"about_ca_system_score_gemma":0.001365902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004622487,"about_ca_topic_score_gemma":0.0004785174,"domain_scores_codex":[0.9983951,0.00007698917,0.0002511434,0.0003123762,0.0005804452,0.0003839446],"domain_scores_gemma":[0.9987174,0.0005549437,0.00003708653,0.0005638566,0.00007527249,0.00005141509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002218923,0.00192974,0.3263898,0.0007968295,0.0003139093,0.02303958,0.01044608,0.000007934377,0.3839943,0.01007937,0.224246,0.01653752],"study_design_scores_gemma":[0.001371951,0.0001217163,0.002236978,0.00005761066,0.00001608259,0.0001373723,0.001195844,0.00002505331,0.07548088,0.0006453311,0.918584,0.0001271492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9553207,0.001024083,0.00001900994,0.002966409,0.00009280222,0.0004220198,0.00001738307,0.0000656426,0.04007192],"genre_scores_gemma":[0.3141663,0.00003257392,0.00004567602,0.6852579,0.0001675986,0.00006339465,0.000006914701,0.00001981693,0.0002398481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.694338,"threshold_uncertainty_score":0.99967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08346006293158875,"score_gpt":0.3868017390655012,"score_spread":0.3033416761339125,"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."}}