{"id":"W4281782212","doi":"10.2174/2215083808666220602115932","title":"Screening of Natural Antivirals Against the COVID-19 Pandemic- ACompilation of Updates","year":2022,"lang":"en","type":"article","venue":"Current Traditional Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus; Pandemic; Protease; Medicine; Traditional medicine; Biology; Pharmacology; Coronavirus disease 2019 (COVID-19); Virology; Infectious disease (medical specialty); Disease; Enzyme","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":[0.0005234877,0.0005236387,0.001122945,0.002643913,0.0002741968,0.0009132131,0.000565523,0.0006134132,0.006829881],"category_scores_gemma":[0.000990472,0.000223754,0.001543683,0.002059312,0.0001765023,0.000748074,0.0003832385,0.0004586866,0.0009130695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329183,"about_ca_system_score_gemma":0.001060787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008662938,"about_ca_topic_score_gemma":0.002500683,"domain_scores_codex":[0.9997333,0.00005494289,0.00004666247,0.00004102834,0.00009902999,0.00002495615],"domain_scores_gemma":[0.9996043,0.0001721064,0.00008357949,0.00001515655,0.0001084021,0.00001645922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008175369,0.0003318455,0.003183622,0.2191482,0.001476051,0.001325175,0.000291539,0.001704025,0.05262966,0.003183718,0.02427417,0.6916344],"study_design_scores_gemma":[0.0002677463,0.003164527,0.01167166,0.04377328,0.008079126,0.003690861,0.0006755599,0.00171769,0.05134049,0.003244921,0.8722354,0.00013871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02093675,0.9614164,0.001286004,0.0009399797,0.0004282828,0.0001948881,0.003075841,0.0001230282,0.01159885],"genre_scores_gemma":[0.07297967,0.9149054,0.003538095,0.001018363,0.0002311484,0.0001205553,0.003312243,0.00002553442,0.003869042],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006829881,"threshold_uncertainty_score":0.02284825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2314588675272113,"score_gpt":0.4092233414525293,"score_spread":0.1777644739253179,"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."}}