{"id":"W3184082157","doi":"10.1007/s00122-021-03912-0","title":"Genetic diversity, distribution and domestication history of the neglected GGAtAt genepool of wheat","year":2021,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; Russian Academy of Sciences; Agriculture and Agri-Food Canada; Agricultural Research Service; Siberian Branch, Russian Academy of Sciences; U.S. Department of Agriculture; Russian Foundation for Basic Research; International Center for Agricultural Research in the Dry Areas; Deutsche Forschungsgemeinschaft","keywords":"Biology; Domestication; Context (archaeology); Genetic diversity; Population; Evolutionary biology; Intraspecific competition; Genetics; Ecology","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":[0.000241276,0.0002227663,0.0002952222,0.001538775,0.0003942468,0.0006591345,0.0001759751,0.0002670501,0.00122784],"category_scores_gemma":[0.0002840341,0.00009956649,0.0003148051,0.001869409,0.0003519164,0.00028613,0.0005273306,0.0002005512,0.0003005542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653184,"about_ca_system_score_gemma":0.0001832271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009669067,"about_ca_topic_score_gemma":0.001332015,"domain_scores_codex":[0.9998155,0.00002186264,0.00002167831,0.00008697902,0.00002610735,0.00002785112],"domain_scores_gemma":[0.9997093,0.00003919807,0.0001126581,0.00003192277,0.00004376591,0.00006320101],"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":[0.0006594204,0.00002967506,0.3637656,0.0002700025,0.0002084302,0.0005253862,0.002356709,0.0002420872,0.5958143,0.000522472,0.0001820743,0.03542376],"study_design_scores_gemma":[0.000006594382,0.0002015211,0.9878854,0.00003220419,0.0000947108,0.0009770658,0.0007462568,0.0002889655,0.005087778,0.0003389525,0.004323749,0.00001681214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967848,0.0007169256,0.001079424,0.00003062754,0.000006111697,0.000008170706,0.0008496591,0.00001250109,0.0005117297],"genre_scores_gemma":[0.9975448,0.0004141701,0.0006231073,0.00002139345,0.00001001841,0.000006658106,0.001099395,0.000006489292,0.0002740143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538775,"threshold_uncertainty_score":0.004107475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009003948312236398,"score_gpt":0.1811630790664647,"score_spread":0.1721591307542283,"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."}}