{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001311603,0.00006900648,0.0001830564,0.00003820467,0.00003514051,0.000006404878,0.0001259465,0.00006380613,0.000002037342],"category_scores_gemma":[0.00007185008,0.00004809581,0.00007949769,0.000105502,0.00004151471,0.000006845963,0.00002855189,0.00002646258,6.691769e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001069383,"about_ca_system_score_gemma":0.00002999351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007059263,"about_ca_topic_score_gemma":0.0002994173,"domain_scores_codex":[0.9993511,0.00003692515,0.0002844122,0.0001507223,0.00009238474,0.00008448126],"domain_scores_gemma":[0.9993753,0.00003081229,0.0002429738,0.0002435634,0.00009298827,0.00001440572],"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":[0.00006247578,0.00008663543,0.02784168,0.0001571989,0.0001033572,9.832938e-9,0.0000958474,0.0001025756,0.971234,0.00000927894,0.0002915556,0.00001535819],"study_design_scores_gemma":[0.000485141,0.0000334995,0.006156777,0.00008571613,0.0001253746,2.190298e-7,0.00005524184,0.005319741,0.9875098,0.00002923515,0.000145505,0.00005370177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976548,0.0001302437,0.0007897707,0.0002342172,0.00002213658,0.0006188981,0.0005431169,0.000001576169,0.000005227602],"genre_scores_gemma":[0.9981688,0.00002517733,0.0006779105,0.00003075001,0.00000888713,0.00003817208,0.0001779236,0.000008802801,0.0008635264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216849,"threshold_uncertainty_score":0.196129,"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."}}