{"id":"W2911763679","doi":"10.1371/journal.pone.0209982","title":"Fine mapping of the major QTL for seed coat color in Brassica rapa var. Yellow Sarson by use of NIL populations and transcriptome sequencing for identification of the candidate genes","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Southwest University; Genome Canada; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; University of Alberta; State Administration of Foreign Experts Affairs","keywords":"Brassica rapa; Biology; Quantitative trait locus; Transcriptome; Candidate gene; Genetics; Gene; KEGG; Silique; Genetic linkage; Botany; Arabidopsis; Gene expression","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":[0.0001723974,0.0003631283,0.0002113809,0.0004026612,0.000154227,0.000162351,0.0001892648,0.000164863,0.0009165189],"category_scores_gemma":[0.0001215921,0.0001980369,0.0003640512,0.0001801477,0.0001431891,0.00007193836,0.0002642001,0.0003469171,0.0003185767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501891,"about_ca_system_score_gemma":0.0002219038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873094,"about_ca_topic_score_gemma":0.004569865,"domain_scores_codex":[0.999903,0.00001045078,0.000009593103,0.00004485839,0.00001981807,0.00001242187],"domain_scores_gemma":[0.9998618,0.00002948401,0.00004084675,0.00001525966,0.00001579575,0.00003667011],"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":[0.00005361243,0.000009137258,0.000537626,0.00001161941,0.000005530423,0.0000606474,0.00002889351,0.0000327805,0.9984118,0.00002682661,0.000008071312,0.0008135563],"study_design_scores_gemma":[0.0002136662,0.0008740137,0.3066264,0.0000313148,0.0002277264,0.002133687,0.0004541137,0.004958453,0.6729459,0.0002103117,0.01128296,0.0000414419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955769,0.0001553728,0.003154124,0.00002870314,0.000008030132,0.00003506708,0.0004591878,0.00008454017,0.0004981412],"genre_scores_gemma":[0.9842511,0.0002637722,0.008837071,0.00005532532,0.000006741322,0.00007859093,0.003227941,0.00008800499,0.00319154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001873094,"threshold_uncertainty_score":0.003724337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304277260925846,"score_gpt":0.2395018199327101,"score_spread":0.1964590473234516,"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."}}