{"id":"W2613992434","doi":"10.1038/s41598-017-02188-z","title":"Breeding histories and selection criteria for oilseed rape in Europe and China identified by genome wide pedigree dissection","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Fundamental Research Funds for the Central Universities; Program for New Century Excellent Talents in University; National Key Research and Development Program of China; Biotechnology and Biological Sciences Research Council; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biology; Genetics; Pedigree chart; Haplotype; Genome; Selection (genetic algorithm); SNP; Brassica; Genome-wide association study; Candidate gene; Gene; Single-nucleotide polymorphism; Allele; Genotype; Botany","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":[0.0007706445,0.000213312,0.0002115805,0.001322774,0.0003985729,0.0002925288,0.0002562597,0.0001507351,0.0008389769],"category_scores_gemma":[0.0007609929,0.0001087967,0.0002286592,0.0009149035,0.0002037041,0.0001674791,0.0003277567,0.000137159,0.0001295454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751341,"about_ca_system_score_gemma":0.0002865873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006251903,"about_ca_topic_score_gemma":0.01463566,"domain_scores_codex":[0.9995813,0.00009684632,0.00004188556,0.0001660869,0.00005017723,0.00006367123],"domain_scores_gemma":[0.9995511,0.0001072602,0.0001486827,0.00005375701,0.00005568381,0.00008345175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002372016,0.00006126804,0.935958,0.00001909362,0.0001262463,0.001552,0.00103936,0.0002256976,0.04239738,0.0003313525,0.0001264907,0.01792588],"study_design_scores_gemma":[0.000006270893,0.000034982,0.9973795,0.000004071794,0.00003602643,0.0006430798,0.0002061331,0.0002784194,0.0007961168,0.00005619035,0.0005532606,0.000005836086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991785,0.00006258198,0.0003511495,0.000007947988,7.899259e-7,0.00000613828,0.00007131033,0.000003164719,0.0003183803],"genre_scores_gemma":[0.9982955,0.00008410787,0.000709302,0.00002207899,0.000001478441,0.000009872723,0.000411918,0.000007269658,0.0004585633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006251903,"threshold_uncertainty_score":0.01243103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970868433247353,"score_gpt":0.2604486256225216,"score_spread":0.2514777571892743,"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."}}