{"id":"W4415231212","doi":"10.1016/j.postharvbio.2025.113997","title":"S.cerevisiae NX2320 primes JA/ET signaling and phenylpropanoid metabolism to enhance postharvest resistance of grape fruit against Botrytis cinerea: An integrated transcriptome-metabolome study","year":2025,"lang":"en","type":"article","venue":"Postharvest Biology and Technology","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, P. R. China; Ministry of Agriculture and Rural Affairs of the People's Republic of China; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Phenylpropanoid; Postharvest; WRKY protein domain; Botrytis cinerea; Superoxide dismutase; MYB; Transcriptome; Blue mold","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":[0.0005364994,0.0004110311,0.0008214501,0.0001884955,0.0003371336,0.00008946835,0.0005536398,0.0004028429,0.0000481948],"category_scores_gemma":[0.0003669618,0.0001721805,0.00007646995,0.001768026,0.00059127,0.0002983154,0.0002453343,0.0005030088,0.000006226205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001782928,"about_ca_system_score_gemma":0.00003235808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755393,"about_ca_topic_score_gemma":0.006477247,"domain_scores_codex":[0.9972858,0.00039703,0.0006125094,0.0009351291,0.000151976,0.0006174963],"domain_scores_gemma":[0.9988624,0.0002143365,0.0001516657,0.0001905848,0.0003815125,0.0001994759],"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":[0.0001690693,0.0002850554,0.03065238,0.00003269444,0.0001052314,0.000008681869,0.0002155179,2.137273e-7,0.9054831,0.007703416,0.00003636011,0.05530825],"study_design_scores_gemma":[0.000683229,0.002120385,0.7759379,0.0001791705,0.0001328192,0.00001799712,0.003887132,0.00000523622,0.181739,0.002332163,0.03231416,0.0006508111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855949,0.004969698,0.00001168414,0.007823347,0.00008705247,0.0009332276,0.0001892351,0.0001771752,0.0002136612],"genre_scores_gemma":[0.9969003,0.0008767392,0.0003871665,0.0004797499,0.00004142505,0.0001110638,0.0001436947,0.00000352752,0.001056353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452855,"threshold_uncertainty_score":0.7021318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282198875654517,"score_gpt":0.3011128309180572,"score_spread":0.2882908421615121,"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."}}