{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022906,0.0002296148,0.0002970279,0.0003497961,0.0002059243,0.0004116766,0.0001098207,0.0001966608,0.001006282],"category_scores_gemma":[0.0001255422,0.0001009157,0.0001849398,0.0006828715,0.00009052289,0.0001935855,0.0002300305,0.0003518327,0.0002536168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232552,"about_ca_system_score_gemma":0.000123051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143522,"about_ca_topic_score_gemma":0.003949252,"domain_scores_codex":[0.9999417,0.000003789619,0.000003254926,0.00003160705,0.000009056193,0.00001058813],"domain_scores_gemma":[0.9999236,0.00001444662,0.00001963719,0.000009178661,0.00001146925,0.00002170958],"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":[0.0006230322,0.00003345664,0.0295858,0.0004099856,0.00007812022,0.0008174984,0.0004500579,0.0005628981,0.9107713,0.0009154544,0.001268276,0.05448407],"study_design_scores_gemma":[0.00003878187,0.000198108,0.8367903,0.0001045279,0.0002121703,0.002037681,0.0005669321,0.002162881,0.06351763,0.00200803,0.09233121,0.00003163618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737217,0.006550816,0.004736742,0.0004736608,0.00004452622,0.00001030193,0.01008184,0.0002677212,0.004112571],"genre_scores_gemma":[0.9634238,0.002571342,0.00732027,0.0002017668,0.00003157618,0.000009092793,0.02401051,0.0001010004,0.002330603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143522,"threshold_uncertainty_score":0.003366351,"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."}}