{"id":"W2931575838","doi":"10.1038/s41588-019-0381-3","title":"Durum wheat genome highlights past domestication signatures and future improvement targets","year":2019,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":824,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Global Institute for Water Security; University of Saskatchewan; University of Alberta","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; Saskatchewan Wheat Development Commission; Genome Prairie; Bundesministerium für Ernährung und Landwirtschaft; University of Alberta; Ministry of Agriculture - Saskatchewan; Agricultural Research Service; Genome Canada; North Dakota State University; U.S. Department of Agriculture","keywords":"Domestication; Biology; Genome; Genetic diversity; Cultivar; Locus (genetics); Genetics; Allele; Gene; Botany; Population","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":[0.0000988442,0.0001922359,0.0001768824,0.00001713948,0.000128376,0.00005699433,0.0001929432,0.0004993893,0.0002377608],"category_scores_gemma":[0.000002913128,0.00007496171,0.00005337936,0.0001444033,0.0000367449,0.00002823985,0.0000849576,0.0003058625,0.00003762283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162864,"about_ca_system_score_gemma":0.000006450749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003282838,"about_ca_topic_score_gemma":0.00003849179,"domain_scores_codex":[0.9989082,0.00003096413,0.0001678968,0.0003965065,0.0001938339,0.0003025479],"domain_scores_gemma":[0.9995995,0.00003633815,0.00006091516,0.0001030853,0.00008619706,0.0001139592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002357969,0.00004466299,0.003922255,0.00001411172,0.00001417968,0.000004238043,0.00006567511,0.000005832266,0.9548889,0.0007037931,0.000619782,0.03969297],"study_design_scores_gemma":[0.0002627141,0.0007779818,0.4558059,0.000005086823,0.00002444489,0.00001218641,0.00007200833,0.00004192014,0.02057554,0.001256043,0.5208474,0.0003188056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830935,0.009221745,0.000002076501,0.00515694,0.0008437405,0.0003751553,0.00005393811,0.00003341993,0.001219485],"genre_scores_gemma":[0.9939324,0.002114946,0.0004060682,0.0009088518,0.001993322,0.000009712196,0.0001746047,0.000002261158,0.000457861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9343134,"threshold_uncertainty_score":0.3851748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00436200584650663,"score_gpt":0.1999522332690886,"score_spread":0.1955902274225819,"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."}}