{"id":"W2393331385","doi":"","title":"Preparative Isolation of Hypericin from St. John's Wort by High-Speed Counter-Current Chromatography","year":2009,"lang":"en","type":"article","venue":"Zhonghua zhongyiyao xuekan","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypericin; Countercurrent chromatography; Chromatography; Hypericum perforatum; Chemistry; High-performance liquid chromatography; Extraction (chemistry); Column chromatography; Traditional medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002779724,0.001057172,0.0005314022,0.0008781081,0.0003859733,0.0003086342,0.0003419877,0.0003543372,0.001394068],"category_scores_gemma":[0.0002870795,0.0001693143,0.0003849233,0.0005423981,0.0003314922,0.000471927,0.0003239293,0.0008943425,0.0009533486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889644,"about_ca_system_score_gemma":0.0004865519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007337414,"about_ca_topic_score_gemma":0.001561554,"domain_scores_codex":[0.9998237,0.00003240443,0.00001458472,0.00003788451,0.00006261237,0.0000288707],"domain_scores_gemma":[0.9997991,0.00005855879,0.00002456903,0.00003284218,0.00004129177,0.00004375022],"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":[0.00003012957,0.00002556641,0.0001159846,0.00008695313,0.000006341465,0.0001586658,0.0000186627,0.00003244055,0.9950098,0.000044365,0.00003814889,0.004432977],"study_design_scores_gemma":[0.00004244032,0.0004439082,0.005421454,0.00001901364,0.00006208471,0.001573429,0.00007195697,0.0003784108,0.986248,0.0001610543,0.005553348,0.00002490578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7713717,0.02468726,0.1885304,0.0007115505,0.0004600176,0.001210825,0.0009573383,0.0006602715,0.01141068],"genre_scores_gemma":[0.8421329,0.01344258,0.1327459,0.0005763205,0.0003581207,0.0004253551,0.003066844,0.0001685203,0.007083466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394068,"threshold_uncertainty_score":0.004663587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007575884018931631,"score_gpt":0.2412238479722075,"score_spread":0.2336479639532759,"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."}}