{"id":"W1616882272","doi":"10.1139/g10-052","title":"Regional association analysis delineates a sequenced chromosome region influencing antinutritive seed meal compounds in oilseed rapeThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Contig; Biology; Quantitative trait locus; Brassica rapa; Genetics; Genetic marker; Population; Locus (genetics); Genome; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173445,0.0003795379,0.0003188651,0.000980188,0.0002201561,0.000227588,0.0002588173,0.0002579056,0.001614975],"category_scores_gemma":[0.0005930176,0.0001912516,0.0007569679,0.0006561367,0.0002054284,0.0001032178,0.0003335575,0.0004713437,0.0004713085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657732,"about_ca_system_score_gemma":0.0002645027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208566,"about_ca_topic_score_gemma":0.004421148,"domain_scores_codex":[0.9997222,0.00003483974,0.00001504219,0.000159366,0.00004060565,0.0000278865],"domain_scores_gemma":[0.9993086,0.0002532199,0.0002359859,0.0000708559,0.00005788608,0.00007341881],"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":[0.0003193619,0.00003070367,0.01011361,0.00007332375,0.00009023941,0.0002642546,0.0001095455,0.0005445159,0.9814912,0.0001382755,0.00003235401,0.006792605],"study_design_scores_gemma":[0.0001219285,0.0006693238,0.7865244,0.00003332259,0.0005550398,0.002626228,0.0001955572,0.004957655,0.1970525,0.0003285465,0.006876225,0.00005913038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754784,0.0005962959,0.02194141,0.00003836929,0.00001231319,0.00003174943,0.001041366,0.0001178028,0.0007422845],"genre_scores_gemma":[0.9758507,0.0003038969,0.02031913,0.00005192786,0.00001263241,0.00002963227,0.002425454,0.00005152965,0.000955114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208566,"threshold_uncertainty_score":0.005402684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076697047892978,"score_gpt":0.2347487404328435,"score_spread":0.2239817699539137,"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."}}