{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002100661,0.0002988453,0.0005861429,0.00002264097,0.0002448148,0.00004691018,0.0002540318,0.000140525,0.00004357649],"category_scores_gemma":[0.00003853761,0.00009497896,0.0001990723,0.0006387471,0.0002048726,0.0001730295,0.00009329306,0.0006051844,0.000002134635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003305285,"about_ca_system_score_gemma":0.00002006937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353969,"about_ca_topic_score_gemma":0.000005592417,"domain_scores_codex":[0.9984327,0.00006803132,0.0004219278,0.0002633968,0.0004746015,0.000339351],"domain_scores_gemma":[0.9982517,0.0005498488,0.0004829234,0.00005108197,0.0005068788,0.0001575538],"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":[0.0004136852,0.000144079,0.006377582,0.00008489424,0.0002204567,0.00001221438,0.00006215681,0.001104892,0.9903167,0.00001002133,0.0009654495,0.0002878763],"study_design_scores_gemma":[0.003033217,0.001615636,0.2785865,0.0001584831,0.0002453392,0.0001501605,0.002121167,0.0005389387,0.7113084,0.00008382439,0.001682842,0.0004754714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964392,0.0007700722,7.245762e-7,0.001869603,0.0001132401,0.0001751095,0.00006908031,0.00004113019,0.0005218227],"genre_scores_gemma":[0.9985914,0.0002446639,0.000198931,0.000133467,0.0006054477,0.000006668129,0.00004376566,0.000001948662,0.0001737109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790083,"threshold_uncertainty_score":0.387313,"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."}}