{"id":"W2038618605","doi":"10.1515/bc.2004.155","title":"St. John's wort (Hypericum perforatum) counteracts cytokine-induced tryptophan catabolism in vitro","year":2004,"lang":"en","type":"article","venue":"Biological Chemistry","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypericum perforatum; Hypericin; Neopterin; Tryptophan; Chemistry; Cytokine; Catabolism; Pharmacology; Piperine; Interferon gamma; Peripheral blood mononuclear cell; In vitro; Biochemistry; Biology; Enzyme; Immunology; Amino acid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291386,0.0003686072,0.0002531124,0.0001802281,0.00009309434,0.0001679209,0.0001039998,0.0001844972,0.001028782],"category_scores_gemma":[0.0001657413,0.00009471572,0.0001639177,0.0001013197,0.0001663721,0.0001151363,0.0001639219,0.000374552,0.0002677132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000814929,"about_ca_system_score_gemma":0.0001170126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002042277,"about_ca_topic_score_gemma":0.0003735961,"domain_scores_codex":[0.9999202,0.00002807292,0.000006718874,0.000009588348,0.00001355753,0.00002183636],"domain_scores_gemma":[0.9999058,0.0000316067,0.00002534572,0.000009498672,0.00001062473,0.00001708367],"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":[0.0005316806,0.0001224615,0.0001906304,0.00008331554,0.00001106919,0.00008449403,0.00001185064,0.00005057378,0.9959412,0.0000185163,0.00004375402,0.00291052],"study_design_scores_gemma":[0.0001950195,0.0044672,0.008642184,0.00001844078,0.00004288375,0.0005977911,0.00002984119,0.0004773307,0.9839283,0.00006820139,0.001528375,0.000004238424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934852,0.004641649,0.0006943445,0.0001090069,0.0000494268,0.00002531687,0.000126623,0.00002026778,0.0008482251],"genre_scores_gemma":[0.9957268,0.002056656,0.0007598216,0.00008414249,0.00004647539,0.00002227229,0.0002692172,0.000005731333,0.001028862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028782,"threshold_uncertainty_score":0.003441572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761598468096831,"score_gpt":0.2551787084425298,"score_spread":0.2275627237615615,"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."}}