{"id":"W4412015385","doi":"10.1186/s12870-025-06893-0","title":"Metabolic reallocation in soybeans under shade stress alters phenylpropanoid profiles with implications for stress adaptation and seed composition","year":2025,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Biology; Phenylpropanoid; Adaptation (eye); Composition (language); Stress (linguistics); Drought stress; Botany; Biochemistry; Neuroscience; Enzyme; Biosynthesis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007595256,0.00009285804,0.0001195802,0.00003020794,0.0001157499,0.00002476758,0.00007424803,0.00007963792,0.000002447441],"category_scores_gemma":[0.00001002503,0.00004108513,0.00001737267,0.000175504,0.00004647875,0.00004331197,0.00001585386,0.00003904176,4.066195e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001475126,"about_ca_system_score_gemma":0.00001685695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002676237,"about_ca_topic_score_gemma":0.004804876,"domain_scores_codex":[0.9993594,0.00006070447,0.0001586957,0.0002469134,0.00003000019,0.0001442588],"domain_scores_gemma":[0.9996405,0.0001636144,0.00007588339,0.00003885554,0.0000570759,0.00002407658],"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":[0.0001593237,0.0001041841,0.3348195,0.00002658292,0.00002059879,6.003039e-8,0.0001296034,0.000422329,0.621003,0.03342259,0.00002142168,0.009870759],"study_design_scores_gemma":[0.0003277779,0.0001156491,0.9791773,0.00003732631,0.00001940227,0.000001347437,0.0007253457,0.001723908,0.01546685,0.002175429,0.0001285693,0.0001010771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935578,0.0001863987,0.003737359,0.001172564,0.00003440121,0.0005861989,0.0006439785,0.00002656597,0.00005471181],"genre_scores_gemma":[0.9948567,0.00006591419,0.0008987188,0.0001224337,0.00004232474,0.0001933817,0.00379656,8.490326e-7,0.00002318099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6443579,"threshold_uncertainty_score":0.2681234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484637299061917,"score_gpt":0.2490535538270484,"score_spread":0.2142071808364292,"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."}}