{"id":"W2151851636","doi":"10.1186/1471-2164-14-277","title":"A consensus map of rapeseed (Brassica napus L.) based on diversity array technology markers: applications in genetic dissection of qualitative and quantitative traits","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Agriculture and Agri-Food Canada","funders":"Grains Research and Development Corporation","keywords":"Biology; Genetics; Quantitative trait locus; Genome; Doubled haploidy; Genetic diversity; Dart; Gene mapping; Genetic marker; Brassica rapa; Locus (genetics); Computational biology; Gene; Chromosome; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001494663,0.0001281791,0.0002122676,0.0001563669,0.00005751947,0.000005214777,0.0001172771,0.0001470977,0.000007086219],"category_scores_gemma":[0.00008989182,0.0001263477,0.00005919417,0.0001448405,0.0002836462,0.000002324166,0.000061161,0.0000748976,0.00000312593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002060131,"about_ca_system_score_gemma":0.00007543435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004674183,"about_ca_topic_score_gemma":0.0001455064,"domain_scores_codex":[0.999113,0.0001760265,0.0002290237,0.0002688923,0.0000714661,0.0001416225],"domain_scores_gemma":[0.9993395,0.0001695701,0.0001556098,0.0001875395,0.000101183,0.0000466541],"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":[0.0002615704,0.0001562985,0.01267496,0.00007411173,0.00003982294,3.465527e-7,0.0005481866,0.0001164587,0.985259,0.0003179514,0.00005155662,0.0004997207],"study_design_scores_gemma":[0.002173677,0.001535365,0.08836273,0.00003787652,0.00005099503,0.000003790658,0.01003512,0.0010947,0.8942648,0.001875245,0.0002186752,0.0003470313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903194,0.0002105537,0.008526755,0.0001278924,0.00001950513,0.000613895,0.00005490497,0.000006597701,0.0001205443],"genre_scores_gemma":[0.9833344,0.000009509432,0.01649082,0.00002383027,0.00000823868,0.00006569866,0.00002680648,0.00001142441,0.00002928574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09099423,"threshold_uncertainty_score":0.5152308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759463385482243,"score_gpt":0.2734138778097709,"score_spread":0.2558192439549485,"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."}}