{"id":"W4312173368","doi":"10.3390/molecules28010083","title":"Flavonoid Metabolism in Tetrastigma hemsleyanum Diels et Gilg Based on Metabolome Analysis and Transcriptome Sequencing","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Research and Development Program of Zhejiang Province; Institute of Genetics; China Academy of Chinese Medical Sciences","keywords":"Flavonoid; Metabolome; Transcriptome; Flavonoid biosynthesis; Biology; Chalcone isomerase; Botany; Metabolomics; Plant physiology; Gene; Biochemistry; Chalcone synthase; Gene expression; Antioxidant; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512887,0.0002407239,0.0003933078,0.0006062437,0.0001385985,0.00003746974,0.0002567527,0.00008158462,0.0001371014],"category_scores_gemma":[0.00008838342,0.0002382228,0.0002464879,0.0008372905,0.00004870567,0.000005793307,0.0001279614,0.000224242,0.000002210078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003248523,"about_ca_system_score_gemma":0.00007554672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196169,"about_ca_topic_score_gemma":0.0001673195,"domain_scores_codex":[0.997988,0.0005040898,0.0002917245,0.0006241457,0.0002847975,0.00030721],"domain_scores_gemma":[0.9993238,0.00004010837,0.00009064436,0.0004073485,0.00002710308,0.000110987],"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":[0.00009367764,0.00006911689,0.001109932,0.000006622327,0.0002813282,0.00003395058,0.00007867688,0.02707211,0.9705068,0.00006012482,0.0004422678,0.0002454355],"study_design_scores_gemma":[0.001566664,0.0002128227,0.01673666,0.00001144231,0.0008925084,0.00001021455,0.0004311716,0.02517902,0.9267167,0.0000959056,0.02737977,0.0007671637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894245,0.0009864394,0.007633813,0.0004900942,0.00006967052,0.0001377746,0.0002733521,0.00002251458,0.0009617949],"genre_scores_gemma":[0.9955782,0.00009449702,0.001173937,0.002185718,0.00002517005,0.00008307655,0.0004960455,0.00002591248,0.0003374302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0437901,"threshold_uncertainty_score":0.9714444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008600693533333032,"score_gpt":0.2365973504139398,"score_spread":0.2279966568806067,"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."}}