{"id":"W4389921250","doi":"10.3390/ijms242417624","title":"The Genetic Dissection of Nitrogen Use-Related Traits in Flax (Linum usitatissimum L.) at the Seedling Stage through the Integration of Multi-Locus GWAS, RNA-seq and Genomic Selection","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Science and Technology Research Partnership for Sustainable Development; Agriculture and Agri-Food Canada; Universidad de La Frontera; Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Universidad Católica de Temuco; Genome Canada","keywords":"Biology; Quantitative trait locus; Genetic architecture; Linum; Genome-wide association study; Candidate gene; Transcriptome; Genetics; Locus (genetics); Gene; Agronomy; Genotype; Single-nucleotide polymorphism; 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":[0.0004767356,0.000480395,0.0004183627,0.0007768972,0.0003673921,0.000258174,0.000232349,0.0002625383,0.001186105],"category_scores_gemma":[0.0001994268,0.000211018,0.0007203522,0.0006091874,0.0001517959,0.0001309164,0.0004157701,0.0003842873,0.0002150728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579647,"about_ca_system_score_gemma":0.0003278136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867546,"about_ca_topic_score_gemma":0.01167103,"domain_scores_codex":[0.9998123,0.00002695751,0.00001496673,0.00009415243,0.00002898469,0.00002260544],"domain_scores_gemma":[0.9998123,0.00005884519,0.00005828861,0.00001473587,0.00002288214,0.00003296219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004030146,0.00008692493,0.02312545,0.0001496756,0.0001758425,0.0002561038,0.0001194777,0.0008625,0.9639202,0.0001467528,0.0002430217,0.01051117],"study_design_scores_gemma":[0.0001038458,0.0005081344,0.9415441,0.00003152706,0.0004455484,0.0007209012,0.0001555843,0.01029289,0.040356,0.0002553708,0.005523851,0.00006228795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876451,0.0004084354,0.006257802,0.00007622959,0.00001093289,0.00004675816,0.004795516,0.0001799156,0.0005792924],"genre_scores_gemma":[0.9577296,0.0005162359,0.02475565,0.0002806359,0.00001740202,0.0002148048,0.013913,0.0001276258,0.002445063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003867546,"threshold_uncertainty_score":0.007690072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178983602594625,"score_gpt":0.2681947036509497,"score_spread":0.2364048676250035,"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."}}