{"id":"W3201469560","doi":"10.1007/s13353-021-00654-z","title":"Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean","year":2021,"lang":"en","type":"review","venue":"Journal of Applied Genetics","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biology; Genetics; Quantitative trait locus; Single-nucleotide polymorphism; Candidate gene; Epistasis; KEGG; Sclerotinia sclerotiorum; Locus (genetics); Haplotype; Genome-wide association study; Gene; Genetic architecture; Allele; Genotype; Gene expression","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":[0.0002414763,0.0002306318,0.0003099272,0.0008979286,0.0001796929,0.0002116017,0.000161542,0.0001800211,0.0007546106],"category_scores_gemma":[0.0002519416,0.0001376121,0.0004576809,0.0007494496,0.000159634,0.0001021474,0.0002249054,0.0001403725,0.0001316843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850409,"about_ca_system_score_gemma":0.0002295641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515849,"about_ca_topic_score_gemma":0.002114266,"domain_scores_codex":[0.9998751,0.00002058991,0.000009444204,0.00005483677,0.00001771048,0.00002231188],"domain_scores_gemma":[0.9998173,0.00006246989,0.00006329451,0.000005349964,0.00001221582,0.00003946522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001093855,0.00007090496,0.1575068,0.0002741291,0.0002451676,0.001060153,0.000208384,0.0007582277,0.8298016,0.0002359695,0.0001655151,0.008579321],"study_design_scores_gemma":[0.00002997974,0.0001456305,0.9877502,0.0000135519,0.0001729447,0.0003818642,0.0001280295,0.002509594,0.008218238,0.000187039,0.0004546639,0.000008327494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9977524,0.0005779006,0.000755795,0.00003874832,0.000003312391,0.000008217432,0.0006082918,0.00001881136,0.0002364308],"genre_scores_gemma":[0.9971425,0.0002276785,0.001204897,0.00002712643,0.000003861716,0.00001976687,0.001067624,0.000005558368,0.0003009831],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001515849,"threshold_uncertainty_score":0.003014088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860628963318126,"score_gpt":0.239248999579133,"score_spread":0.2106427099459518,"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."}}