{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850324,0.00006289464,0.00007804231,0.00001218632,0.00007081053,0.00001286843,0.0001170956,0.00005109713,0.00008203815],"category_scores_gemma":[0.000008229014,0.00001667584,0.00002303423,0.0001203446,0.00001116232,0.00002247604,0.00002836029,0.00003552944,0.0001404625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056114,"about_ca_system_score_gemma":0.000002349047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582829,"about_ca_topic_score_gemma":0.001165948,"domain_scores_codex":[0.9994601,0.00004926449,0.0001408041,0.0001316919,0.00005780348,0.0001603357],"domain_scores_gemma":[0.9997989,0.00008410454,0.00003059111,0.00003982694,0.00001030859,0.00003627583],"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":[0.00003074602,0.000009985048,0.003364369,5.246515e-7,0.000002236256,0.000003139848,0.0003222091,0.00009338616,0.9523682,0.0005671267,0.00002105926,0.043217],"study_design_scores_gemma":[0.00009758941,0.00008208922,0.9826661,0.000009494191,0.000003568202,0.0000159131,0.00006108694,0.00007426459,0.0005261828,0.003181736,0.01317817,0.0001038152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966269,0.00008278962,0.000007514701,0.002518644,0.00009478834,0.0001389483,0.00009273987,0.00001541333,0.0004222923],"genre_scores_gemma":[0.9990724,0.0001519993,0.00003714345,0.0001759547,0.00007407885,0.00000664554,0.00006834992,6.174713e-7,0.0004127531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9793017,"threshold_uncertainty_score":0.1805408,"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."}}