{"id":"W2381442710","doi":"10.3835/plantgenome2015.10.0103","title":"Population Genomics Related to Adaptation in Elite Oat Germplasm","year":2016,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; National Association of Friendship Centres; Agriculture Environmental Renewal Canada (Canada)","funders":"Agriculture and Agri-Food Canada; Biotechnology and Biological Sciences Research Council; U.S. Department of Agriculture","keywords":"Biology; Germplasm; Genomics; Elite; Adaptation (eye); Genomic selection; Biotechnology; Population; Population genomics; Evolutionary biology; Genetics; Genome; Agronomy; Genotype; Single-nucleotide polymorphism; Gene; Demography","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":[0.0005464814,0.0001809723,0.0001795028,0.0007432161,0.0003187368,0.0004445536,0.0001667814,0.0002108195,0.0006428096],"category_scores_gemma":[0.0006241025,0.00009645643,0.0002835387,0.0008138468,0.0001807144,0.0001855135,0.0002651635,0.0002138796,0.00008385551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337567,"about_ca_system_score_gemma":0.0001814921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909676,"about_ca_topic_score_gemma":0.004234951,"domain_scores_codex":[0.9997143,0.00005807328,0.00002422862,0.0001340705,0.00003842145,0.00003097626],"domain_scores_gemma":[0.9997379,0.0000712433,0.00009125497,0.00002728797,0.00003940651,0.00003281521],"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":[0.0004217788,0.0001448148,0.4590681,0.00009301554,0.0003518585,0.0003363132,0.001484165,0.001960719,0.4889903,0.0009612027,0.0002094829,0.04597822],"study_design_scores_gemma":[0.000008184697,0.00008672274,0.9968305,0.00000390813,0.00003051716,0.00009922066,0.0001383719,0.0007174461,0.001533143,0.0001898751,0.0003547503,0.00000742397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988884,0.000090332,0.0006327761,0.000008429137,0.000001617829,0.000005063043,0.00008907805,0.000008471663,0.0002757606],"genre_scores_gemma":[0.9986125,0.00005617993,0.0006454675,0.00001623249,0.000003006161,0.00001164984,0.000415397,0.00000746932,0.0002320356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909676,"threshold_uncertainty_score":0.005785465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546645010989623,"score_gpt":0.2020986593820832,"score_spread":0.1766322092721869,"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."}}