{"id":"W4323817394","doi":"10.1016/j.jgg.2023.02.015","title":"Deciphering spike architecture formation towards yield improvement in wheat","year":2023,"lang":"en","type":"review","venue":"Journal of genetics and genomics/Journal of Genetics and Genomics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; National Key Research and Development Program of China; Biotechnology and Biological Sciences Research Council; Natural Science Foundation of Shandong Province; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Spike (software development); Food security; Biotechnology; Genetic architecture; Trait; Genomics; Population; Yield (engineering); Agronomy; Quantitative trait locus; Agriculture; Ecology; Genome; Gene; Genetics; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.001160308,0.0005364444,0.001766795,0.0002541727,0.000149557,0.0002222941,0.0005803714,0.0005099275,0.00001774909],"category_scores_gemma":[0.00003630529,0.0002658981,0.0005442123,0.0002788593,0.0001057389,0.00005656568,0.0003039343,0.0008117043,0.000002025561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356512,"about_ca_system_score_gemma":0.000247389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001798117,"about_ca_topic_score_gemma":0.0003258087,"domain_scores_codex":[0.9963779,0.00010756,0.002363317,0.000312559,0.0003370415,0.0005016247],"domain_scores_gemma":[0.9970668,0.0001997427,0.001955414,0.0001282173,0.0002926899,0.000357145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005148141,0.00005881019,0.00003726975,0.0008332634,0.0001446748,0.00009001036,0.0003371518,0.0002771862,0.01790368,0.000008238853,0.00009280564,0.9801654],"study_design_scores_gemma":[0.0009685539,0.004855596,0.001494672,0.003222917,0.001091918,0.003292421,0.0005138241,0.0002029193,0.00142266,0.003000034,0.978902,0.001032443],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3436702,0.6551607,0.00006373107,0.0002110698,0.0005434466,0.0002611691,0.00006577566,0.000002352185,0.00002148211],"genre_scores_gemma":[0.006446463,0.9899732,0.001930404,0.00009528649,0.001474238,0.000003008558,0.0000144938,0.00001772514,0.0000452102],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.979133,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444094106727596,"score_gpt":0.2713159533137996,"score_spread":0.2168750122465236,"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."}}