{"id":"W4281722390","doi":"10.1016/j.xplc.2022.100347","title":"Genome-edited ATP BINDING CASSETTE B1 transporter SD8 knockouts show optimized rice architecture without yield penalty","year":2022,"lang":"en","type":"letter","venue":"Plant Communications","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; Agricultural Science and Technology Innovation Program; National Natural Science Foundation of China","keywords":"Arabidopsis; Yield (engineering); Gene knockout; Arabidopsis thaliana; Open reading frame; Genome; Biology; Gene; Rice plant; Computational biology; Genetics; Horticulture; Physics; Peptide sequence; Mutant","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003929434,0.0005566868,0.00077179,0.0001260349,0.001266628,0.0001613944,0.003071421,0.0005780308,0.001772501],"category_scores_gemma":[0.00005424535,0.0002652915,0.000388718,0.0006418374,0.000139555,0.0001326142,0.0004799967,0.003431862,0.00007315128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007204475,"about_ca_system_score_gemma":0.00004479485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003988273,"about_ca_topic_score_gemma":0.0004889655,"domain_scores_codex":[0.996875,0.0004389999,0.0006384681,0.0006633899,0.0006317187,0.0007524021],"domain_scores_gemma":[0.9969717,0.001444196,0.0004622391,0.0008805721,0.00007772987,0.0001635304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002102314,0.0003642682,0.0006844902,0.00007532235,0.0005000507,0.0003312179,0.001373844,0.00004997246,0.07322244,0.00005520248,0.9203802,0.00275275],"study_design_scores_gemma":[0.0002497543,0.0000601297,0.002186537,0.00007461302,0.000253417,0.0001771991,0.0000937876,0.00004290255,0.00006283128,0.00002482405,0.9961487,0.0006253119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07405616,0.004801252,0.00003745791,0.8659821,0.0009886118,0.001772898,0.04469226,0.000605801,0.007063456],"genre_scores_gemma":[0.04406738,0.02963221,0.003947845,0.5522065,0.007848118,0.001578729,0.3360556,0.00005753046,0.0246061],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3137756,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534501609848135,"score_gpt":0.2365972232438959,"score_spread":0.1812522071454146,"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."}}