{"id":"W3137944384","doi":"10.1038/s41588-021-00807-0","title":"Chromosome-scale genome assembly provides insights into rye biology, evolution and agronomic potential","year":2021,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":272,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Saskatchewan Research Council (Canada); University of Saskatchewan","funders":"Leibniz-Gemeinschaft; Agriculture and Agri-Food Canada; Directorate for Biological Sciences; European Regional Development Fund; German Network for Bioinformatics Infrastructure; Grantová Agentura České Republiky; Bundesministerium für Ernährung und Landwirtschaft; Deutsche Forschungsgemeinschaft; Universitätsmedizin Göttingen; Biotechnology and Biological Sciences Research Council; Noble Research Institute; Bundesministerium für Bildung und Forschung; Montana Wheat and Barley Committee","keywords":"Biology; Secale; Domestication; Genome; Germplasm; Introgression; Gene pool; Plant disease resistance; Genetics; Chromosome; Biotechnology; Gene; Agronomy; Genetic diversity","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00007475801,0.0001563998,0.0001802973,0.00001578417,0.0002137695,0.00005842616,0.0001513945,0.0005052881,0.00005419326],"category_scores_gemma":[0.00001342027,0.00007090461,0.00006763575,0.0001748146,0.0001017683,0.00003150264,0.0001519792,0.0002618704,0.00001414874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401314,"about_ca_system_score_gemma":0.00002910703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002022323,"about_ca_topic_score_gemma":0.0006649377,"domain_scores_codex":[0.9989913,0.00008137983,0.0001743852,0.0004169816,0.00008505474,0.0002509084],"domain_scores_gemma":[0.9996256,0.0000292312,0.00005351413,0.00008153482,0.0001078394,0.0001022459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000007915908,0.00003982174,0.003573447,0.000006925745,0.0000109784,0.000009197789,0.00006373556,0.000009021618,0.9799899,0.0001713377,0.00008120717,0.01603653],"study_design_scores_gemma":[0.0003860309,0.0006790229,0.79972,0.00001475456,0.00006798247,0.0001002023,0.000255421,0.0003836731,0.1312737,0.01264682,0.05392392,0.0005484126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685447,0.02975861,0.00004492504,0.0007784746,0.0004278292,0.0001182961,0.00002361708,0.00002753807,0.0002760564],"genre_scores_gemma":[0.9960976,0.001519452,0.0009329665,0.000275664,0.0008172479,0.000006474231,0.0002142747,0.00000179099,0.000134535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8487162,"threshold_uncertainty_score":0.3897245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006950676464215408,"score_gpt":0.214072860239076,"score_spread":0.2071221837748606,"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."}}