{"id":"W2044375493","doi":"10.1371/journal.pone.0097430","title":"Detection and Molecular Characterization of Two FAD3 Genes Controlling Linolenic Acid Content and Development of Allele-Specific Markers in Yellow Mustard (Sinapis alba)","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Gene; Genetics; Allele; Exon; Linolenic acid; Sinapis; Fatty acid; Botany; Biochemistry; Brassica; Linoleic acid","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001016403,0.0002904825,0.0001558835,0.0003745352,0.0001513135,0.0001604153,0.0001750657,0.0002174946,0.000419888],"category_scores_gemma":[0.0001668853,0.0001565068,0.0002550106,0.0001671099,0.0001711311,0.00007756244,0.0002402385,0.0003239333,0.000186877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671304,"about_ca_system_score_gemma":0.0002138971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809178,"about_ca_topic_score_gemma":0.006052637,"domain_scores_codex":[0.9999348,0.000007558141,0.000005607041,0.00002175013,0.00001690874,0.00001335574],"domain_scores_gemma":[0.9998313,0.00003413997,0.00003686834,0.00001299295,0.00002889232,0.00005581837],"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":[0.00003944648,0.000007818046,0.001232282,0.000008885389,0.000003314264,0.00004742566,0.00002484397,0.00001712393,0.9977531,0.00002144457,0.000004308157,0.0008398777],"study_design_scores_gemma":[0.0001052849,0.0003980568,0.4393949,0.00001414731,0.0001178597,0.001102268,0.0002732407,0.003072375,0.5519348,0.0001746797,0.003386769,0.0000255432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979442,0.0001463403,0.001462338,0.00002350879,0.000004600635,0.00001167836,0.000177059,0.00002161771,0.0002085268],"genre_scores_gemma":[0.9908372,0.0001567954,0.00429037,0.00005661297,0.0000048123,0.00003324717,0.002345457,0.00002945868,0.002246049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002809178,"threshold_uncertainty_score":0.005585611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323485577559386,"score_gpt":0.1924598030857965,"score_spread":0.1692249473102026,"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."}}