{"id":"W3169381076","doi":"10.15562/phytomedicine.2020.119","title":"In silico evaluation of therapeutic potentials of Syringic acid against some selected diseases","year":2020,"lang":"en","type":"article","venue":"Discovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Syringic acid; ADME; In silico; Pharmacology; Disease; Drug; Pharmacophore; Medicine; Chemistry; Biology; Bioinformatics; Gallic acid; Biochemistry; Internal medicine; Antioxidant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003974491,0.0001668698,0.000609258,0.0007612444,0.00005706106,0.00003628006,0.0007385514,0.00005814379,0.000009871208],"category_scores_gemma":[0.003319293,0.000127169,0.00007081134,0.002380803,0.000434341,0.001715262,0.0003000173,0.0008171708,7.950717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009961666,"about_ca_system_score_gemma":0.001188071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007638771,"about_ca_topic_score_gemma":6.743109e-7,"domain_scores_codex":[0.9949122,0.00172831,0.0008274782,0.0003775925,0.001770952,0.0003834791],"domain_scores_gemma":[0.9955854,0.001030523,0.0004872007,0.0001838156,0.002544508,0.0001685355],"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":[0.0008644533,0.0003472085,0.0006644443,0.000356307,0.0001880821,0.00006456156,0.0009736587,0.004830392,0.9740866,0.0004303033,0.0007113344,0.01648266],"study_design_scores_gemma":[0.008659969,0.003400916,0.09873554,0.0003401379,0.0001952468,0.00007109888,0.0003997078,0.1118092,0.75147,0.02445332,0.0001252777,0.0003395641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953073,0.0314935,0.0006053056,0.01376484,0.0006029634,0.0004337025,0.000008484236,0.000006916873,0.00001124728],"genre_scores_gemma":[0.9976248,0.0009055322,0.0004863727,0.0004623855,0.0004899753,0.000006072752,0.000005612262,0.00001001609,0.000009269755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226165,"threshold_uncertainty_score":0.51858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017450104510051,"score_gpt":0.4260150252578628,"score_spread":0.3242700148068577,"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."}}