{"id":"W1999060764","doi":"10.1002/pca.908","title":"A high‐performance liquid chromatography with electrochemical detection for the determination of total hypericin in extracts of St. John's wort","year":2006,"lang":"en","type":"article","venue":"Phytochemical Analysis","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypericin; Chemistry; Hypericum perforatum; Chromatography; Amperometry; Detection limit; Elution; High-performance liquid chromatography; Electrochemistry; Electrode; Traditional medicine; Pharmacology","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":[0.0005883754,0.0008324384,0.0006868047,0.0008492991,0.0003564405,0.0005315053,0.0007664568,0.0009965042,0.001779404],"category_scores_gemma":[0.0006621066,0.0003914422,0.0004185983,0.0006641229,0.0004536004,0.0004381358,0.0003483274,0.001374119,0.001399017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779855,"about_ca_system_score_gemma":0.0005687363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008084414,"about_ca_topic_score_gemma":0.0026425,"domain_scores_codex":[0.999225,0.0001407025,0.00004906464,0.0001533616,0.0003904639,0.00004135938],"domain_scores_gemma":[0.9994857,0.0001705613,0.00007372914,0.00003869419,0.0001470214,0.00008419554],"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":[0.00006447885,0.00005324573,0.0003203863,0.0001333001,0.00002787577,0.00007553813,0.00001543386,0.00004201428,0.9862222,0.00006083451,0.0001671108,0.01281765],"study_design_scores_gemma":[0.0000960611,0.001220319,0.01805752,0.00004767002,0.0001550015,0.003631244,0.00004904375,0.004032652,0.9603327,0.0001997678,0.01211442,0.00006354472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4465529,0.03730212,0.4971467,0.001514054,0.0009327426,0.00129179,0.001702484,0.004323022,0.009234144],"genre_scores_gemma":[0.5365052,0.01863603,0.4167983,0.001844504,0.0004370477,0.001095614,0.002524944,0.0001502485,0.02200818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001779404,"threshold_uncertainty_score":0.005952716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006927316358029824,"score_gpt":0.2193858421807093,"score_spread":0.2124585258226795,"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."}}