{"id":"W2150106748","doi":"10.4238/2014.june.11.4","title":"Analysis of diversity and relationships among orchardgrass (Dactylis glomerata L.) accessions using start codon-targeted markers","year":2014,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Key Research and Development Program of China; Institute of Botany, Chinese Academy of Sciences; University of Alberta; Earmarked Fund for Modern Agro-industry Technology Research System; National Natural Science Foundation of China; Chinese Academy of Sciences","keywords":"Dactylis glomerata; Germplasm; Biology; Genetic diversity; Forage; Dendrogram; Selection (genetic algorithm); Perennial plant; Agronomy; Poaceae","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005690885,0.00006538707,0.0001507125,0.00004779967,0.0011129,0.00004553072,0.0001467718,0.00007170248,0.00003537909],"category_scores_gemma":[0.0001595225,0.0000328023,0.00004298028,0.0004569043,0.000332143,0.00004015469,0.0006894807,0.0001101456,2.933156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007129119,"about_ca_system_score_gemma":0.000003779385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007844433,"about_ca_topic_score_gemma":0.0002464486,"domain_scores_codex":[0.9988654,0.0003883259,0.0001108128,0.0002304074,0.0002158636,0.0001891966],"domain_scores_gemma":[0.9993699,0.0002132893,0.00005074232,0.00007838751,0.0001558342,0.0001318654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002386308,0.0000285664,0.565366,0.00000512846,0.00005949222,0.000001070442,0.00003287287,0.00001060389,0.4328348,0.0001315972,0.0001057612,0.001400269],"study_design_scores_gemma":[0.0001040375,0.0001178902,0.9886259,0.000007840729,0.00006050411,3.002171e-7,0.0001611998,0.003907299,0.006132893,0.0003624297,0.000446075,0.00007363495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989699,0.0003113502,0.00009216896,0.0002674983,0.000008374524,0.0001079438,0.00007704395,0.000004011188,0.0001617231],"genre_scores_gemma":[0.9994362,0.000351754,0.00009118103,0.00002339812,0.000008195048,0.000002043325,0.00006878623,6.999958e-7,0.00001772766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4267019,"threshold_uncertainty_score":0.8559638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431368917654917,"score_gpt":0.3297299776695613,"score_spread":0.1865930859040696,"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."}}