{"id":"W3200699429","doi":"10.5539/jas.v13n10p142","title":"Seasonal Variation in the Content of Condensed Tannins in Leaves of Xylopia emarginata Mart. (Annonaceae) in Response to Phenology and Climate","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Traditional and Medicinal Uses of Annonaceae","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenology; Tannin; Annonaceae; Horticulture; Proanthocyanidin; Condensed tannin; Botany; Biology; Antioxidant; Polyphenol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001017701,0.00005993743,0.0001550947,0.00008047958,0.00002086799,0.000008671866,0.0001792148,0.00003893841,0.000003722778],"category_scores_gemma":[0.0004254746,0.00003376173,0.00003075274,0.0003809999,0.0001683548,0.00002141126,0.00005310038,0.00009744769,1.811809e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002535644,"about_ca_system_score_gemma":0.0001681616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001920954,"about_ca_topic_score_gemma":0.000124328,"domain_scores_codex":[0.9990627,0.0001184616,0.0003045929,0.0001215772,0.0002518606,0.0001408412],"domain_scores_gemma":[0.9993935,0.00007139573,0.0001586137,0.0000595249,0.0002703795,0.00004654535],"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":[0.000448748,0.00008415178,0.01648185,0.00001045204,0.000004066684,0.00002579534,0.0005900652,0.0001009155,0.9816605,0.0003970619,0.00006343484,0.0001329959],"study_design_scores_gemma":[0.0006386419,0.0004674041,0.9640166,0.00009255159,0.000003978041,0.0002184032,0.001995971,0.000004222995,0.03231497,0.00004725241,0.0001561445,0.00004389074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950509,0.0004977012,0.000006696745,0.00424874,0.000061352,0.00006660281,0.0000115567,3.000729e-7,0.00005612435],"genre_scores_gemma":[0.9992375,0.0001546107,0.0003529429,0.0001874996,0.00003132659,0.000001241686,0.000002836804,0.000001061579,0.00003102436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9493455,"threshold_uncertainty_score":0.1376763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673738331278926,"score_gpt":0.254369283719114,"score_spread":0.2376319004063248,"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."}}