{"id":"W3110395203","doi":"10.1038/s41586-020-2947-8","title":"The barley pan-genome reveals the hidden legacy of mutation breeding","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":591,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"JST-Mirai Program; Biotechnology and Biological Sciences Research Council; German Network for Bioinformatics Infrastructure; Genome Prairie; National Natural Science Foundation of China; Core Research for Evolutional Science and Technology; Agricultural Science and Technology Innovation Program; Bundesministerium für Bildung und Forschung; Genome Canada","keywords":"Biology; Hordeum vulgare; Germplasm; Genome; Genetic diversity; Genetics; Reference genome; Whole genome sequencing; Genetic variation; Locus (genetics); Microsatellite; Gene; Allele; Agronomy; Poaceae; 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":[0.0002127394,0.0002537363,0.0003364402,0.0004507029,0.0002680169,0.0005521477,0.000234991,0.0003384385,0.001153539],"category_scores_gemma":[0.0003265674,0.0001602092,0.0002623964,0.0008043043,0.000226064,0.000253126,0.0003766291,0.0004855275,0.0004031851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458574,"about_ca_system_score_gemma":0.0002401805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143007,"about_ca_topic_score_gemma":0.002231752,"domain_scores_codex":[0.9998894,0.00000727277,0.000008045372,0.00005053245,0.00002668099,0.00001810603],"domain_scores_gemma":[0.9997687,0.00004487115,0.00007014541,0.00004177994,0.0000329018,0.00004161142],"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":[0.0002978057,0.00001735263,0.009854479,0.0001254702,0.00004022421,0.0003469607,0.0001432036,0.0003478609,0.9714273,0.0004100414,0.0001894672,0.01679981],"study_design_scores_gemma":[0.00004948135,0.0004942172,0.5881816,0.0001098447,0.0003491751,0.003533726,0.0004643644,0.003940896,0.3631913,0.002547318,0.03707755,0.00006047482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980361,0.001816183,0.01148117,0.0001245078,0.00004477495,0.00002516779,0.004533906,0.0002232931,0.00139002],"genre_scores_gemma":[0.9754192,0.001022369,0.01376718,0.0001080833,0.0000331862,0.00001687204,0.008263449,0.0001225224,0.001247264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001153539,"threshold_uncertainty_score":0.003858924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901360019591253,"score_gpt":0.2318488380273243,"score_spread":0.2128352378314117,"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."}}