{"id":"W2921121581","doi":"10.3390/md17030171","title":"Stereo-Selective Pharmacokinetics of Ilimaquinone Epimers Extracted from a Marine Sponge in Rats","year":2019,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Bioactive Compounds and Antitumor Agents","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Small and Medium Business Administration; National Research Foundation of Korea; Korea Institute for Industrial Economics and Trade; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Sponge; Epimer; Pharmacokinetics; Stereochemistry; Chemistry; Pharmacology; Biology; Computational biology; Botany","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":[0.00006822363,0.0002659149,0.0001635749,0.0002255073,0.00008239566,0.0001140968,0.00007724968,0.0001404257,0.0009147396],"category_scores_gemma":[0.0001194991,0.0001395152,0.000137169,0.00009360396,0.0001696469,0.0001717999,0.0000736105,0.0003213544,0.0002151924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150991,"about_ca_system_score_gemma":0.00020634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000971959,"about_ca_topic_score_gemma":0.001329874,"domain_scores_codex":[0.9999726,0.000003586018,0.000001220401,0.000008749134,0.000006734578,0.000007202802],"domain_scores_gemma":[0.999934,0.000007604958,0.00002199078,0.000006731402,0.00001166358,0.0000180529],"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":[0.001322014,0.00007406538,0.0007079082,0.00005440332,0.00001268764,0.00005800256,0.00003473047,0.00009324035,0.9915754,0.00005090066,0.00007728982,0.005939426],"study_design_scores_gemma":[0.0001439012,0.01101914,0.03465259,0.00001649485,0.0001234684,0.000484863,0.000121762,0.001582763,0.9468914,0.0001374886,0.004790433,0.00003562945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966079,0.0009107643,0.001241185,0.00006347633,0.00001571476,0.00002265361,0.0002973903,0.0000528632,0.0007881853],"genre_scores_gemma":[0.9936125,0.001312049,0.001436027,0.00008058128,0.00001603936,0.00003785856,0.0003978715,0.00001911164,0.003088101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000971959,"threshold_uncertainty_score":0.003060162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0500949502594407,"score_gpt":0.3741672494659611,"score_spread":0.3240722992065204,"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."}}