{"id":"W4413107655","doi":"10.1021/acs.jafc.5c06276","title":"Improvement of Rice Seed Storability by Regulating Lipid Metabolism Using a CRISPR/Cas9 System","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Mutant; Catabolism; Cultivar; Lipid metabolism; Lipid peroxidation; Food science; Reactive oxygen species; Biology; CRISPR; Biochemistry; Lipid oxidation; Enzyme; Chemistry; Horticulture; Gene; Antioxidant","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":[0.0003297641,0.0001441779,0.0003500933,0.000008485684,0.0001604338,0.00005299316,0.0002034288,0.0001140634,0.000011716],"category_scores_gemma":[0.00005076614,0.00004457307,0.0001646882,0.0003180873,0.00005727193,0.0001276514,0.00009630271,0.0002279184,1.387431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007314151,"about_ca_system_score_gemma":0.00001938944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008399234,"about_ca_topic_score_gemma":0.00000277647,"domain_scores_codex":[0.9987675,0.00003660487,0.0004962331,0.0001684874,0.0003139172,0.0002172396],"domain_scores_gemma":[0.9989846,0.00009623224,0.0003854212,0.00004151198,0.000370902,0.0001213303],"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":[0.00002587277,0.00007312933,0.0005069927,0.000325876,0.00007528252,5.095101e-7,0.00004523592,0.000006088385,0.9973338,0.000005340351,0.0002395681,0.001362277],"study_design_scores_gemma":[0.0003527598,0.0002099988,0.1901056,0.0002322877,0.00009093889,0.00007287232,0.004884533,0.00002953619,0.8035097,0.00001960617,0.0003549254,0.0001372836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997017,0.001990511,0.000002907504,0.0004815336,0.00008877768,0.00008768861,0.00002691431,0.000009525465,0.0002952032],"genre_scores_gemma":[0.9994208,0.00004934937,0.00007600365,0.00001085914,0.0002677981,0.000001383016,0.000005178047,5.323194e-7,0.0001681318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1938242,"threshold_uncertainty_score":0.1817637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013410714627156,"score_gpt":0.234256213219519,"score_spread":0.220845498592363,"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."}}