{"id":"W3119885368","doi":"10.3390/ph14010044","title":"Drug Repurposing: Dipeptidyl Peptidase IV (DPP4) Inhibitors as Potential Agents to Treat SARS-CoV-2 (2019-nCoV) Infection","year":2021,"lang":"en","type":"article","venue":"Pharmaceuticals","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drug repositioning; Repurposing; Dipeptidyl peptidase-4; Drug; Medicine; Linagliptin; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pharmacology; Drug discovery; Coronavirus; Coronavirus disease 2019 (COVID-19); Virology; Computational biology; Bioinformatics; Biology; Type 2 diabetes; Diabetes mellitus; Infectious disease (medical specialty); Disease","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004066447,0.000417427,0.0006294173,0.0003998656,0.000260225,0.0001577562,0.0001012018,0.000161773,0.0030978],"category_scores_gemma":[0.0004232401,0.0004016943,0.0005719314,0.001023806,0.0001111197,0.0002545287,0.000174741,0.0004970453,0.00284159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846674,"about_ca_system_score_gemma":0.0002123782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044887,"about_ca_topic_score_gemma":0.00002567951,"domain_scores_codex":[0.9966997,0.0002625579,0.0007213254,0.00085518,0.0007838659,0.0006773658],"domain_scores_gemma":[0.9981034,0.00007590266,0.0001335012,0.0005736922,0.0003981295,0.0007154108],"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":[0.0003054891,0.001125348,0.002287486,0.000152369,0.0002176427,0.001463284,0.000311966,0.00003190992,0.8799873,0.0001079846,0.1048477,0.009161492],"study_design_scores_gemma":[0.002768428,0.0001095979,0.0009867937,0.0005193526,0.0007068029,0.0004477807,0.00008682079,0.0006872872,0.8864694,0.000146655,0.1066431,0.0004280197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774942,0.0002765634,0.00048761,0.008751759,0.0003168983,0.0005605679,0.00005536835,0.000324524,0.01173253],"genre_scores_gemma":[0.9722746,0.0002428195,0.0005034888,0.01635689,0.0008767651,0.00005719345,0.0002752442,0.00007010552,0.009342864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008733473,"threshold_uncertainty_score":0.9998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912503281341703,"score_gpt":0.3901314770871696,"score_spread":0.3410064442737526,"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."}}