{"id":"W4360945751","doi":"10.1111/pbi.14041","title":"Rapid production of novel beneficial alleles for improving rice appearance quality by targeting a regulatory element of <scp><i>SLG7</i></scp>","year":2023,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Biology; Allele; Quantitative trait locus; Grain quality; Gene; Population; Japonica; Genetics; Mutant; Crop; Agronomy; Botany","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":[0.0005614705,0.0009715604,0.0007060192,0.0006252683,0.0003149573,0.0005216671,0.0009272285,0.0007393538,0.003648072],"category_scores_gemma":[0.000475582,0.000473864,0.001054701,0.0003503372,0.0004232906,0.0003987529,0.0009316689,0.001981331,0.002046522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452249,"about_ca_system_score_gemma":0.0005925139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155398,"about_ca_topic_score_gemma":0.002276607,"domain_scores_codex":[0.9995926,0.00003841648,0.00005644084,0.0001041434,0.0001386086,0.0000697776],"domain_scores_gemma":[0.9997192,0.0000505106,0.00008750895,0.00004243618,0.00003492766,0.000065427],"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":[0.00006454821,0.00004934986,0.0003049773,0.0001422783,0.00001706232,0.0002194071,0.00006054041,0.0002249658,0.9921922,0.0004051426,0.0003809498,0.005938605],"study_design_scores_gemma":[0.0002481448,0.0005901086,0.008645274,0.0000897968,0.0002474319,0.001346856,0.0001424371,0.01260406,0.92916,0.0006142089,0.04620324,0.0001084887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6965508,0.003312576,0.2629183,0.001281631,0.0009655342,0.001889198,0.009865331,0.01103016,0.01218654],"genre_scores_gemma":[0.8080314,0.002273335,0.1506794,0.001005621,0.00009177945,0.001240896,0.01474168,0.002534221,0.01940162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003648072,"threshold_uncertainty_score":0.01220399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924141917757634,"score_gpt":0.2375205456975741,"score_spread":0.2182791265199978,"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."}}