{"id":"W2538117420","doi":"","title":"Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine max (L.) Merrill] Seed","year":2012,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Quantitative trait locus; Christian ministry; Trait; Agriculture; Glycine; Soybean oil; Identification (biology); Biology; Biotechnology; Gene; Political science; Genetics; Botany; Food science; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001610547,0.0002687051,0.0002405034,0.000385912,0.0001511778,0.0001784928,0.0002202172,0.0001580741,0.0004452167],"category_scores_gemma":[0.0001613852,0.0001966863,0.0003920031,0.000256108,0.0001731199,0.0000713191,0.0001597906,0.0003504486,0.0001366466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175966,"about_ca_system_score_gemma":0.0002678746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394958,"about_ca_topic_score_gemma":0.006489155,"domain_scores_codex":[0.9998858,0.000009868525,0.000009151761,0.00005540561,0.00002360598,0.00001617252],"domain_scores_gemma":[0.9998572,0.00003861017,0.00004946348,0.000007673846,0.00001464074,0.0000323512],"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":[0.0001099284,0.00002332041,0.003005774,0.00001919857,0.00000797393,0.000064074,0.00007989081,0.00008559664,0.9955555,0.00002642683,0.00001028361,0.001012109],"study_design_scores_gemma":[0.0001013973,0.0007594809,0.7414212,0.00002241244,0.0001389871,0.0008704809,0.0003414497,0.003329409,0.2511007,0.00009166423,0.001780848,0.00004210019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985421,0.00008557034,0.0008669849,0.00001353337,0.000002117026,0.000009230481,0.0003022008,0.00001660783,0.0001616958],"genre_scores_gemma":[0.9920405,0.0001962201,0.004336855,0.00003949147,0.000002734071,0.00003971017,0.001879521,0.00002806348,0.001436968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00394958,"threshold_uncertainty_score":0.00785321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736753182273729,"score_gpt":0.2099401660196868,"score_spread":0.1925726341969495,"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."}}