{"id":"W3198803853","doi":"10.1002/pmic.202100160","title":"SGLT2‐Inhibition reverts urinary peptide changes associated with severe COVID‐19: An in‐silico proof‐of‐principle of proteomics‐based drug repurposing","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drug repositioning; Repurposing; Context (archaeology); Empagliflozin; Coronavirus disease 2019 (COVID-19); Drug; Medicine; Pharmacology; Urinary system; Internal medicine; Biology; Diabetes mellitus; Infectious disease (medical specialty); Disease; Type 2 diabetes","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001891719,0.0002833757,0.0008658093,0.0002554965,0.0001239967,0.00001998149,0.0001526624,0.0001860438,0.00006080318],"category_scores_gemma":[0.0366874,0.0002538549,0.0001324813,0.0007837319,0.0003186795,0.0001514002,0.0002670225,0.0005948491,0.000001241971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007295051,"about_ca_system_score_gemma":0.002949106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001975566,"about_ca_topic_score_gemma":0.0005680743,"domain_scores_codex":[0.9968467,0.0004265474,0.0007564976,0.0006978968,0.0007650225,0.000507276],"domain_scores_gemma":[0.9963753,0.001175606,0.0005245368,0.0007243617,0.0007773933,0.0004227505],"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":[0.01167959,0.01039534,0.4090523,0.01631052,0.0006514806,0.002207458,0.00434431,0.004858452,0.5366038,0.0002765436,0.0002835033,0.003336713],"study_design_scores_gemma":[0.01290747,0.004589771,0.05013622,0.006149395,0.0002423616,0.00006248363,0.0004719979,0.01108294,0.9112504,0.001431746,0.0009085424,0.0007666892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878487,0.000163405,0.001595745,0.005958138,0.00003034511,0.004069301,0.00009746167,0.00007464781,0.0001622625],"genre_scores_gemma":[0.9802156,0.0001037807,0.01728388,0.001078625,0.00007487484,0.000563047,0.0001676599,0.00005927694,0.0004532483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3746466,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05362256693650166,"score_gpt":0.3784898881694324,"score_spread":0.3248673212329307,"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."}}