{"id":"W4289517226","doi":"10.3389/fgene.2022.854936","title":"Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits","year":2022,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Life and Environmental Sciences, Deakin University; Centre for Applied Genomics; Indian Council of Agricultural Research; Department of Science and Technology, Ministry of Science and Technology, India; Science and Engineering Research Board; International Union of Biochemistry and Molecular Biology; Department of Agriculture, Philippines","keywords":"Biology; Quantitative trait locus; Biotechnology; Phenomics; Context (archaeology); Genomics; Molecular breeding; Trait; Genome; Adaptation (eye); Selection (genetic algorithm); Plant breeding; Genetic gain; Genetics; Agronomy; Genetic variation; Gene; Computer science","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":[0.001692205,0.0007421747,0.0007234287,0.001066511,0.0003286977,0.001219287,0.0005758274,0.0007884154,0.003451797],"category_scores_gemma":[0.0009957146,0.0002662975,0.0005326939,0.002260761,0.0006588704,0.001413918,0.0007683779,0.001656247,0.0008759433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101067,"about_ca_system_score_gemma":0.001682961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725873,"about_ca_topic_score_gemma":0.005440527,"domain_scores_codex":[0.9995922,0.00005122589,0.00002246119,0.0001163167,0.0001691331,0.0000487814],"domain_scores_gemma":[0.9989527,0.0003236223,0.0001349022,0.00006626739,0.0003662609,0.0001561504],"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":[0.0002388968,0.00009196575,0.003586248,0.005997295,0.0001591853,0.0002898467,0.0003048426,0.002222854,0.2664693,0.01784169,0.01832536,0.6844726],"study_design_scores_gemma":[0.00004498217,0.0002726685,0.02362091,0.0006590582,0.0004389525,0.0007780718,0.0003532253,0.008203508,0.06577503,0.01912834,0.8805506,0.0001747098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05178585,0.8006142,0.0900972,0.01883585,0.00117871,0.0001161986,0.002493292,0.001643649,0.03323508],"genre_scores_gemma":[0.1530158,0.7443129,0.07915628,0.007146677,0.001716093,0.0001512141,0.003991795,0.0002165368,0.01029276],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003725873,"threshold_uncertainty_score":0.01154739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982978514359848,"score_gpt":0.2792545811482278,"score_spread":0.2294247960046293,"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."}}