{"id":"W2278010891","doi":"10.2135/cropsci2014.12.0837","title":"Quantitative Trait Loci Mapping and Candidate Gene Identification for Seed Glucosinolates in <i>Brassica rapa</i> L.","year":2016,"lang":"en","type":"article","venue":"Crop Science","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Brassica rapa; Biology; Glucosinolate; Quantitative trait locus; Locus (genetics); Brassica; Botany; Genetics; Gene","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":[0.0002069161,0.0003724977,0.0002084923,0.0005906769,0.0001363325,0.000191493,0.000237776,0.0001525225,0.0009360277],"category_scores_gemma":[0.0001137405,0.0001997695,0.0003860268,0.0003536118,0.0001352852,0.0000605345,0.000129381,0.0002961253,0.0003575645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951413,"about_ca_system_score_gemma":0.0001969789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510465,"about_ca_topic_score_gemma":0.004044747,"domain_scores_codex":[0.9998699,0.00001774573,0.00001077058,0.00005695614,0.00002750305,0.00001707189],"domain_scores_gemma":[0.9998497,0.00002739365,0.00005987965,0.00001135602,0.00001941316,0.0000322629],"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":[0.00008769293,0.00001926282,0.001321007,0.00002824766,0.00001128498,0.00004983406,0.00003296574,0.0000862774,0.9949211,0.00005881482,0.0000317019,0.003351898],"study_design_scores_gemma":[0.0003328228,0.0009071433,0.5063578,0.00004216768,0.0003140255,0.001916721,0.0002762312,0.006723554,0.4674835,0.0003358031,0.0152374,0.00007283907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911775,0.0003957015,0.00605985,0.00004890897,0.000006057151,0.00004003153,0.001348617,0.0002118534,0.000711407],"genre_scores_gemma":[0.9648455,0.000492064,0.02162839,0.00007860806,0.00001043387,0.0001572118,0.008646266,0.0001216222,0.004019928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002510465,"threshold_uncertainty_score":0.00499177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616866611872394,"score_gpt":0.2692193224209834,"score_spread":0.2530506563022595,"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."}}