{"id":"W3176802793","doi":"10.1101/2021.06.21.449320","title":"The green tea catechin EGCG provides proof-of-concept for a pan-coronavirus entry inhibitor","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Queen's University; McGill University","keywords":"Coronavirus; Catechin; Virology; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Biology; Viral entry; Chemistry; Virus; Microbiology; Polyphenol; Medicine; Viral replication; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002795809,0.0005822224,0.0002394103,0.000211084,0.0001886967,0.0004835422,0.0003666091,0.0006540642,0.003608683],"category_scores_gemma":[0.0001487904,0.0001383737,0.0004419943,0.0001529419,0.0001571381,0.0002540251,0.0001876677,0.0008518537,0.0008055507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657958,"about_ca_system_score_gemma":0.0002717631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008966872,"about_ca_topic_score_gemma":0.001061422,"domain_scores_codex":[0.9999,0.00001562147,0.000006150315,0.00002097113,0.00003188121,0.00002534194],"domain_scores_gemma":[0.9999467,0.00001026208,0.000008568503,0.000007850613,0.00001412085,0.00001258138],"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":[0.0003839584,0.0001630216,0.0001069029,0.0001564846,0.00003305258,0.00008124388,0.00001872677,0.0002407833,0.9914022,0.0004252054,0.001056698,0.005931621],"study_design_scores_gemma":[0.00007579335,0.0006613175,0.0005874373,0.00001372594,0.00003647647,0.0001090106,0.000009907018,0.0004344966,0.9811702,0.00010193,0.01679341,0.000006248111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890304,0.02091409,0.05536539,0.003597607,0.001345522,0.0008296198,0.005839649,0.001226965,0.02057719],"genre_scores_gemma":[0.9531636,0.005819338,0.02068761,0.0008356078,0.0000724704,0.000202542,0.002737722,0.0001097492,0.01637133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003608683,"threshold_uncertainty_score":0.01207221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019740000893257,"score_gpt":0.2534434768942203,"score_spread":0.2332460768852877,"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."}}