{"id":"W1998634485","doi":"10.1021/ac702064p","title":"Combining PARAFAC Analysis of HPLC-PDA Profiles and Structural Characterization Using HPLC-PDA-SPE-NMR-MS Experiments:  Commercial Preparations of St. John's Wort","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Chromatography; High-performance liquid chromatography; Principal component analysis; Elution; Sample preparation; Extraction (chemistry); Chemometrics; Analytical Chemistry (journal); Artificial intelligence","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":[0.001256756,0.001460255,0.000853961,0.001692693,0.0003134619,0.0007306423,0.0003103453,0.0005529836,0.001048785],"category_scores_gemma":[0.001711989,0.000314614,0.0007969501,0.001725978,0.0005717779,0.0008082888,0.0005424129,0.001221091,0.0006633081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834815,"about_ca_system_score_gemma":0.0006719009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108786,"about_ca_topic_score_gemma":0.001677467,"domain_scores_codex":[0.9990479,0.0001382977,0.00005631624,0.0003461662,0.0003430248,0.00006828304],"domain_scores_gemma":[0.9992418,0.0002367587,0.0001592835,0.00008755612,0.0002317433,0.00004296455],"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":[0.0001050489,0.0001018824,0.001039295,0.0002205905,0.00007640857,0.00006338801,0.00005903676,0.0008850954,0.9667041,0.00009967819,0.00008541854,0.03055993],"study_design_scores_gemma":[0.00001869216,0.0005968399,0.0253941,0.00002358421,0.0001430634,0.0005577275,0.000143425,0.02730869,0.9420409,0.0005018568,0.003184284,0.00008688108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6850215,0.003683247,0.3035598,0.0004205981,0.0001359291,0.0005068649,0.001781401,0.001465683,0.003424828],"genre_scores_gemma":[0.7402952,0.003471633,0.2514677,0.000381287,0.00009769911,0.0005382837,0.001716572,0.0002708305,0.001760649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001692693,"threshold_uncertainty_score":0.006646395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04999031321468429,"score_gpt":0.3134978450156114,"score_spread":0.2635075318009271,"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."}}