{"id":"W2994628935","doi":"10.1038/s41598-019-55862-9","title":"Genetic Analysis of High Protein Content in ‘AC Proteus’ Related Soybean Populations Using SSR, SNP, DArT and DArTseq Markers","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Carleton University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada; Grain Farmers of Ontario; University of Guelph","keywords":"Biology; Quantitative trait locus; Genetics; Population; Allele; Epistasis; Locus (genetics); Single-nucleotide polymorphism; Gene; Genotype","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":[0.0003651074,0.000277614,0.000195914,0.0007828391,0.0002377656,0.0002296518,0.0002052715,0.0002281024,0.0009514671],"category_scores_gemma":[0.0002667072,0.0001703335,0.0002621243,0.0003570185,0.0002178379,0.00008453675,0.0003521951,0.0003649009,0.0001432104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962383,"about_ca_system_score_gemma":0.0002111639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342322,"about_ca_topic_score_gemma":0.003505891,"domain_scores_codex":[0.9997947,0.00003204871,0.00002172708,0.00008435468,0.00004333549,0.0000238702],"domain_scores_gemma":[0.9997637,0.00007129727,0.00006453936,0.00002012217,0.00003375973,0.00004663031],"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":[0.0001842485,0.00004638192,0.00779253,0.00002856526,0.00003308873,0.0001018756,0.0001327935,0.00008170302,0.9895331,0.00005729965,0.00001602681,0.001992323],"study_design_scores_gemma":[0.00006770557,0.0009257393,0.8572528,0.0000136,0.0001807493,0.001565784,0.000261407,0.002930883,0.1348075,0.0001147851,0.00185213,0.0000268448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985703,0.00004265464,0.0009275779,0.0000108289,0.000001947158,0.00001688499,0.0001990646,0.00001542312,0.0002153021],"genre_scores_gemma":[0.9945345,0.00005137138,0.003386769,0.00002775685,0.000002776618,0.00003198055,0.001225329,0.00002346364,0.0007160961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002342322,"threshold_uncertainty_score":0.004657447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04679259518273891,"score_gpt":0.2383674291624718,"score_spread":0.1915748339797329,"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."}}