{"id":"W4375861883","doi":"10.1021/acs.jafc.2c08372","title":"Comprehensive Metabolite Profiling of Two Edible <i>Garcinia</i> Species Based on UPLC-ESI-QTOF-MS<sup>E</sup> Coupled with Bioactivity Assays","year":2023,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Minzu University of China; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Metabolomics; Metabolite; Metabolite profiling; Secondary metabolite; Traditional medicine; Biology; Phytochemical; Chemistry; Botany; Chromatography; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924964,0.0006594974,0.0004141915,0.00075343,0.0002442268,0.0003910527,0.0002009999,0.0003058215,0.0004568569],"category_scores_gemma":[0.0001713187,0.0001460793,0.0004102018,0.0007194706,0.0001710891,0.0003505089,0.00024134,0.0002899996,0.0001357422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285381,"about_ca_system_score_gemma":0.0001841698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008071651,"about_ca_topic_score_gemma":0.001066867,"domain_scores_codex":[0.9998928,0.00001204916,0.00001066255,0.0000405231,0.0000277946,0.00001620487],"domain_scores_gemma":[0.999916,0.00001434398,0.00002751413,0.000005722394,0.00001808764,0.00001833186],"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":[0.0001824231,0.00001873426,0.00146535,0.0001437776,0.00002871975,0.0001014743,0.00004470904,0.0001113525,0.9921445,0.00003121194,0.00003644389,0.005691361],"study_design_scores_gemma":[0.0000622738,0.001417931,0.1674377,0.00006220293,0.0005012622,0.001178165,0.0003446796,0.001499538,0.817325,0.0002401685,0.009861994,0.00006894508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990647,0.004664931,0.00208036,0.00007594828,0.00002077638,0.00004835464,0.001483422,0.0001176301,0.0008616411],"genre_scores_gemma":[0.9817069,0.003304231,0.01018338,0.000219749,0.00003120201,0.00007327513,0.002941702,0.00004391281,0.001495571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008071651,"threshold_uncertainty_score":0.001658201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602450163968135,"score_gpt":0.239420990172631,"score_spread":0.2133964885329497,"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."}}