{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018359,0.0004053577,0.0002197161,0.0001678823,0.0001277672,0.000256787,0.0002662336,0.0002130768,0.0008586519],"category_scores_gemma":[0.0001311119,0.0001199542,0.0002840472,0.00008877065,0.0002047475,0.0001719146,0.0002996781,0.0004665898,0.000191414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707614,"about_ca_system_score_gemma":0.0002527218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008271501,"about_ca_topic_score_gemma":0.001504507,"domain_scores_codex":[0.9999112,0.000009813684,0.0000152666,0.00002493297,0.00002236309,0.00001638045],"domain_scores_gemma":[0.9999131,0.00001220444,0.00003147566,0.00001593491,0.000009925342,0.00001736591],"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":[0.00003212137,0.000005976523,0.0001429541,0.00001756393,0.000003860308,0.00004008617,0.000008250709,0.0000810272,0.9985498,0.00007229989,0.000021015,0.001025056],"study_design_scores_gemma":[0.00001601954,0.0001329525,0.003467849,0.000005934906,0.00002695334,0.0002105453,0.00002719141,0.002865272,0.9901828,0.00007607779,0.002977343,0.00001097306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714778,0.0004661194,0.02517374,0.0001244829,0.00005798192,0.00006366739,0.0005531717,0.0005208042,0.001562172],"genre_scores_gemma":[0.9863405,0.0002948037,0.01017496,0.00005568174,0.000005006909,0.0000319604,0.0004237216,0.00006122416,0.00261223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008586519,"threshold_uncertainty_score":0.002872527,"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."}}