{"id":"W2903328047","doi":"10.3724/sp.j.1006.2014.01914","title":"SNP Detection and Analysis of Genes for Flavonoid Pathway in Yellow- and Black-Seeded Brassica napus L.","year":2014,"lang":"en","type":"article","venue":"ACTA AGRONOMICA SINICA","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; Agriculture and Agri-Food Canada","funders":"","keywords":"Brassica; Flavonoid; Biology; Gene; SNP; Flavonoid biosynthesis; Genetics; SNP array; Botany; Single-nucleotide polymorphism; Genotype; Transcriptome; Gene expression; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172165,0.00013594,0.000278943,0.00007414654,0.00003934382,0.00001647576,0.0001057911,0.0001905057,0.000003372334],"category_scores_gemma":[0.0001290301,0.0001283809,0.0001047961,0.00009178945,0.0001384553,0.000004899945,0.00007086055,0.00004272376,3.924548e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008033577,"about_ca_system_score_gemma":0.00002154812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108826,"about_ca_topic_score_gemma":0.0001880447,"domain_scores_codex":[0.9991384,0.00003760121,0.0002514081,0.0003733918,0.00003666072,0.0001625779],"domain_scores_gemma":[0.9994377,0.0001133805,0.0001268547,0.0002340146,0.00002374861,0.00006423029],"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":[0.0001923698,0.00004016811,0.002480234,0.00002589555,0.0002104681,1.173575e-7,0.00001810952,0.000006813654,0.9886771,0.000005801105,0.00005608556,0.008286783],"study_design_scores_gemma":[0.0004225771,0.0001508306,0.01901488,0.000007970933,0.0001619941,0.000001508024,0.00003231043,0.001354453,0.968087,0.00001225418,0.01058497,0.0001693126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990123,0.0001360227,0.0002140505,0.0001344879,0.00002549147,0.000117685,0.00007722581,0.000005274348,0.0002774692],"genre_scores_gemma":[0.9990397,0.0002240746,0.0003773073,0.00005113805,0.00007240615,0.00001136984,0.0001218078,0.000009463734,0.00009270242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059021,"threshold_uncertainty_score":0.5235221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847218852272935,"score_gpt":0.2183656448813265,"score_spread":0.2095184260290535,"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."}}