{"id":"W4378746611","doi":"10.1007/s11306-023-02014-w","title":"A comparative metabolomics investigation of flavonoid variation in faba bean flowers","year":2023,"lang":"en","type":"article","venue":"Metabolomics","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers; Innovationsfonden; Agriculture and Agri-Food Canada; Western Grains Research Foundation","keywords":"Petal; Anthocyanin; Flavonols; Vicia faba; Botany; Flavonoid; Pigment; Kaempferol; Polyphenol; Biology; Peonidin; Anthocyanidin; Quercetin; Cyanidin; Horticulture; Food science; Chemistry; Delphinidin; 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":[0.0002541407,0.0001082379,0.0002645635,0.00002566789,0.00007343996,0.00001105054,0.0001215222,0.0000587416,0.00004608515],"category_scores_gemma":[0.00002178159,0.00005034637,0.00005602648,0.0004421684,0.00009468781,0.00006950769,0.00008121898,0.00006763823,0.0000608104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001968428,"about_ca_system_score_gemma":0.000003906593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002056227,"about_ca_topic_score_gemma":0.0002693185,"domain_scores_codex":[0.9991848,0.00007124314,0.0002513923,0.0001926696,0.0001272347,0.0001726967],"domain_scores_gemma":[0.9997275,0.00007632174,0.0000981311,0.00004411815,0.00001654827,0.00003736672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002732754,0.00003171166,0.03996274,0.000005215651,0.00003192171,6.577386e-7,0.002127798,0.0008596161,0.9532655,0.0003844328,0.0002233243,0.003079739],"study_design_scores_gemma":[0.0001476969,0.00005011945,0.9705104,0.000003727291,0.00002040828,2.788434e-7,0.001556488,0.0008448121,0.02466927,0.001122014,0.0009674882,0.0001073124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988505,0.0002338745,0.00001052818,0.0003364531,0.0001227332,0.0001578161,0.0000418425,0.00003042607,0.0002158261],"genre_scores_gemma":[0.998887,0.0003352901,0.000490363,0.00006467226,0.00004035917,0.00001267467,0.00008834463,9.245042e-7,0.00008036988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9305477,"threshold_uncertainty_score":0.2053065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718762408840486,"score_gpt":0.2279331450408404,"score_spread":0.1907455209524356,"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."}}