{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002375839,0.0004689065,0.0002808593,0.000255603,0.0001659307,0.000409843,0.000270174,0.0004365068,0.001389361],"category_scores_gemma":[0.0001278686,0.0001517652,0.000270368,0.0001502123,0.0002296637,0.00041937,0.0003528992,0.0006558376,0.0007033264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530435,"about_ca_system_score_gemma":0.0002013777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009190822,"about_ca_topic_score_gemma":0.0001352208,"domain_scores_codex":[0.9998893,0.00002665968,0.000006014997,0.00001941022,0.00003393313,0.00002472917],"domain_scores_gemma":[0.9999613,0.000006895678,0.00001124649,0.000003994576,0.000005888126,0.00001086114],"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":[0.0001164065,0.00007903496,0.0001127834,0.0002207515,0.00001849717,0.0002908811,0.00002584668,0.001122298,0.9810973,0.00154023,0.0002614909,0.01511455],"study_design_scores_gemma":[0.00008280024,0.002760357,0.0007029676,0.00004900412,0.00005473253,0.001071825,0.00003616461,0.002595778,0.9516465,0.0009495576,0.04002273,0.00002759244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712794,0.03486006,0.07392283,0.001143795,0.0006643179,0.0004747015,0.0008813701,0.000458596,0.01631496],"genre_scores_gemma":[0.9232744,0.01281478,0.05486373,0.0006583811,0.0001047887,0.0001994877,0.0007035119,0.00005419616,0.007326805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001389361,"threshold_uncertainty_score":0.004647851,"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."}}