{"id":"W4223449430","doi":"10.3390/foods11070914","title":"GrainGenes: Tools and Content to Assist Breeders Improving Oat Quality","year":2022,"lang":"en","type":"article","venue":"Foods","topic":"Food composition and properties","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Department of Agriculture","keywords":"Quantitative trait locus; Avena; Biology; Genetic resources; Genome-wide association study; Gene; Biotechnology; Trait; Genome; Allele; Genetics; Computational biology; Agronomy; Computer science; Genotype","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":[0.0003131877,0.00009445746,0.0001336751,0.00005374872,0.0004544689,0.000121749,0.0001147422,0.0000206401,0.00009381091],"category_scores_gemma":[0.00005825282,0.00009193268,0.00004898001,0.0001056715,0.00003198585,0.00008572119,0.0001581216,0.0001200007,0.000009368818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000867018,"about_ca_system_score_gemma":0.00001219545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003950884,"about_ca_topic_score_gemma":0.00006353917,"domain_scores_codex":[0.9990469,0.0001819937,0.0001773149,0.000213437,0.0001949143,0.0001854811],"domain_scores_gemma":[0.9996111,0.00005655998,0.00004603208,0.0001700948,0.00002922971,0.00008693898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003182144,0.0001795597,0.005144018,0.0001567673,0.00007557934,0.000007930176,0.008901024,0.0001478817,0.2188626,0.001168515,0.004315767,0.7578583],"study_design_scores_gemma":[0.00596433,0.02617923,0.1533606,0.0001949227,0.0001845797,0.000176976,0.0617041,0.002265458,0.1132177,0.001429007,0.6326448,0.002678304],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868064,0.0005880033,0.0001822022,0.008648966,0.001006108,0.0002801128,0.00005880582,0.0001331316,0.002296268],"genre_scores_gemma":[0.9948539,6.406361e-7,0.0004803557,0.004246693,0.00006076575,0.00006038323,0.00001351199,0.00001483121,0.0002688807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7551799,"threshold_uncertainty_score":0.3748906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415618136266018,"score_gpt":0.3091444200295338,"score_spread":0.167582606402932,"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."}}