{"id":"W3198549098","doi":"10.33380/2305-2066-2021-10-3-105-113","title":"Determination of Lappaconitin, Diterpene Alkaloide Obtained from Plants &lt;i&gt;Aconitum leucostomum&lt;/i&gt;, and its Active Metabolite N-desacetyllappaconitin in Human Plasma and Blood","year":2021,"lang":"en","type":"article","venue":"Drug development & registration","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Public Health Association","funders":"","keywords":"Alkaloid; Chemistry; Chromatography; Diterpene; High-performance liquid chromatography; Protein precipitation; Pharmacokinetics; Metabolite; Aconitum; Quantitative analysis (chemistry); Active metabolite; Pharmacology; Stereochemistry; Biochemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001137502,0.0003314072,0.0005032005,0.0003194176,0.0002608257,0.00005239292,0.0001688004,0.0003072241,0.0001661255],"category_scores_gemma":[0.0003810715,0.0003595025,0.00003913886,0.0002569258,0.0002013887,0.0003372472,0.0001068301,0.0005752146,0.00001474816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354095,"about_ca_system_score_gemma":0.0006614073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003527183,"about_ca_topic_score_gemma":0.00125083,"domain_scores_codex":[0.9970451,0.0006458759,0.0007342785,0.000595612,0.0004681113,0.0005110432],"domain_scores_gemma":[0.9981232,0.0007818153,0.0003686487,0.000164323,0.000286277,0.0002757457],"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":[0.0004736706,0.0003529058,0.00238375,0.0001513685,0.0001535632,0.0003918278,0.003030431,0.000008314119,0.9594671,0.0009759215,0.0001095205,0.03250165],"study_design_scores_gemma":[0.004954345,0.00008297212,0.0295906,0.0002284143,0.0001736038,0.00008839108,0.0005887309,0.001353929,0.9498736,0.0003132242,0.01237495,0.0003772126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934673,0.002164664,0.00006296281,0.0004602272,0.00017962,0.0005806309,0.0003012287,0.00003545144,0.002747957],"genre_scores_gemma":[0.9947174,0.001326522,0.001024166,0.0001786233,0.00009136464,0.00009023625,0.001120052,0.00002606408,0.001425543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212444,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05625091011436616,"score_gpt":0.3656614644053199,"score_spread":0.3094105542909537,"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."}}