{"id":"W4399097662","doi":"10.1111/pbi.14375","title":"Multiplex‐genome‐editing based rapid directional improvement of complex traits in rice","year":2024,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Fujian Academy of Agricultural Sciences; South China Agricultural University; Natural Science Foundation of Fujian Province; Directorate for Biological Sciences; Chinese Academy of Agricultural Sciences; China Agricultural University","keywords":"Biology; Germplasm; Genome; Oryza sativa; Computational biology; Genetics; Gene; Biotechnology; Agronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004801102,0.0005888719,0.0004038502,0.0002565371,0.0001145516,0.0003763135,0.0003304456,0.000250829,0.0006643121],"category_scores_gemma":[0.0002504746,0.0002719564,0.0004227379,0.0001950577,0.0002576279,0.0002645391,0.0006272015,0.0006909217,0.0004045268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235191,"about_ca_system_score_gemma":0.0002396635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003883999,"about_ca_topic_score_gemma":0.0007098835,"domain_scores_codex":[0.999715,0.00002578065,0.00002899846,0.0001071029,0.00007571315,0.00004747379],"domain_scores_gemma":[0.9998504,0.0000250526,0.00005283054,0.00003186091,0.00001589751,0.00002400295],"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":[0.0000279296,0.00001180349,0.0001454525,0.00003204188,0.000005590274,0.00003767641,0.00002097084,0.0001967947,0.9950089,0.0001829403,0.00003933585,0.004290609],"study_design_scores_gemma":[0.00002009007,0.000173228,0.002689376,0.000005759542,0.0000349971,0.0003169986,0.00001849692,0.004434147,0.9869961,0.000145553,0.005145708,0.00001948355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136132,0.001384618,0.1779452,0.0001764738,0.00008402408,0.0003142523,0.001049706,0.00197561,0.003456903],"genre_scores_gemma":[0.8774632,0.001269001,0.1119904,0.0001383034,0.00001955069,0.0001817485,0.001628017,0.0003339158,0.006975777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006643121,"threshold_uncertainty_score":0.002539098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065031471531729,"score_gpt":0.2593219450988699,"score_spread":0.2486716303835526,"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."}}