{"id":"W2921823375","doi":"10.3198/jpr2018.06.0037crmp","title":"Registration of the S2MET Barley Mapping Population for Multi‐Environment Genomewide Selection","year":2019,"lang":"en","type":"article","venue":"Journal of Plant Registrations","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Minnesota Department of Agriculture; U.S. Department of Agriculture","keywords":"Hordeum vulgare; Biology; Selection (genetic algorithm); Cultivar; Population; Genomic selection; Biotechnology; Triticeae; Germplasm; Agronomy; Genotype; Genetics; Genome; Poaceae; Computer science; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002134863,0.0009009637,0.001113027,0.001337968,0.001826802,0.001201902,0.001833466,0.0009693598,0.02098039],"category_scores_gemma":[0.002046083,0.000640389,0.0009173537,0.003273088,0.0003321597,0.0003792875,0.001486161,0.001658364,0.01253232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008429532,"about_ca_system_score_gemma":0.001706431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181013,"about_ca_topic_score_gemma":0.03551326,"domain_scores_codex":[0.9990152,0.00017553,0.00008898007,0.00035675,0.0002245909,0.0001389241],"domain_scores_gemma":[0.9981451,0.0002428898,0.0001740968,0.0006898342,0.0002963145,0.0004517933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009193506,0.001746365,0.07953963,0.001175231,0.0009039633,0.006756379,0.004606521,0.005323761,0.3289938,0.01074191,0.3737506,0.1772684],"study_design_scores_gemma":[0.002403574,0.001128621,0.2570953,0.0002893276,0.0004426214,0.002264067,0.0008378378,0.005417614,0.02485791,0.002952566,0.7020873,0.0002231624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.3353597,0.0001908966,0.03767101,0.0005936627,0.0004516233,0.002823912,0.5958602,0.002571585,0.02447739],"genre_scores_gemma":[0.0820195,0.0002020724,0.05389472,0.0004369012,0.00007829825,0.004927102,0.8413807,0.002275662,0.01478496],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02098039,"threshold_uncertainty_score":0.07018638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383141422970217,"score_gpt":0.2263393448920663,"score_spread":0.1880252025950445,"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."}}