{"id":"W2007677223","doi":"10.5012/bkcs.2013.34.11.3187","title":"Inhibition of SARS Coronavirus Helicase by Baicalein","year":2013,"lang":"en","type":"article","venue":"Bulletin of the Korean Chemical Society","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Helicase; Virology; Outbreak; Coronavirus; Pandemic; Virus; Medicine; RNA-dependent RNA polymerase; Viral replication; Viral pneumonia; Biology; Gene; RNA; Disease; Coronavirus disease 2019 (COVID-19); Genetics; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077986,0.00012408,0.0001964378,0.000007513585,0.00004469843,0.00002495343,0.0007009258,0.00008925913,0.0001536948],"category_scores_gemma":[0.0001430421,0.00009342947,0.0003295333,0.0001959745,0.0002693265,0.00005359713,0.0006041978,0.0001680273,0.00003596013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443949,"about_ca_system_score_gemma":0.00003815919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002030111,"about_ca_topic_score_gemma":1.207479e-7,"domain_scores_codex":[0.9986824,0.0001123161,0.0003431658,0.0002665738,0.0004104853,0.0001850521],"domain_scores_gemma":[0.9987587,0.0004150622,0.0001993182,0.0004374069,0.0001222199,0.00006725387],"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":[0.000007474684,0.000237436,0.00009873015,0.00004763245,0.00003175801,2.611023e-7,0.0003187965,0.0001350226,0.7046931,0.003692902,0.2817183,0.009018578],"study_design_scores_gemma":[0.0003484714,0.00002036686,0.0005445053,0.00004479323,0.000008507117,0.000004128802,0.00002488813,0.007937219,0.9740723,0.009216042,0.007637597,0.000141164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584521,0.00008614599,0.03035529,0.009575621,0.00009077274,0.0002610301,0.00002883419,0.00004699005,0.001103205],"genre_scores_gemma":[0.9180631,0.000009997102,0.08050197,0.001196895,0.00003624044,0.00001749565,0.000009245038,0.000010413,0.0001546581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740807,"threshold_uncertainty_score":0.3809943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051933442268332,"score_gpt":0.2679631106934268,"score_spread":0.2474437762707435,"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."}}