{"id":"W2944704619","doi":"10.3835/plantgenome2018.12.0102","title":"Hybrid Genome Assembly of a Major Quantitative Disease Resistance Locus in Soybean Toward <i>Fusarium graminearum</i>","year":2019,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Center for Applied Plant Sciences, Ohio State University; National Institute of Food and Agriculture; United Soybean Board; Ohio State University; Ohio Soybean Council; U.S. Department of Agriculture","keywords":"Biology; Genetics; Locus (genetics); Gene; Candidate gene; Population; Quantitative trait locus; Soybean cyst nematode; Plant disease resistance; Bacterial artificial chromosome; Genome; Gibberella zeae; Fusarium","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":[0.0002116001,0.0003641277,0.0004018833,0.0005719134,0.0004128894,0.000412451,0.0003404326,0.0003624216,0.002780465],"category_scores_gemma":[0.0002460949,0.0003376533,0.0006721622,0.0006776497,0.000162381,0.0001962463,0.0003283322,0.0007339784,0.001102508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007867631,"about_ca_system_score_gemma":0.000575569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006912321,"about_ca_topic_score_gemma":0.01867372,"domain_scores_codex":[0.9998688,0.00001312543,0.00000874549,0.00006168694,0.00003245807,0.00001524409],"domain_scores_gemma":[0.9998871,0.00002496598,0.00002711237,0.000009559307,0.00001771902,0.00003356844],"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":[0.0006195475,0.00006390821,0.001657048,0.0001749238,0.00003821166,0.0002932483,0.0002268651,0.0006287323,0.9897176,0.0004531204,0.0008678396,0.005259005],"study_design_scores_gemma":[0.0007070928,0.001451115,0.2633997,0.0002062109,0.0007511367,0.002055303,0.0009376404,0.02545049,0.5664368,0.001766718,0.1366597,0.0001779944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064143,0.001142042,0.03556683,0.0003552893,0.000141812,0.0004116044,0.04744777,0.002032447,0.006487915],"genre_scores_gemma":[0.759421,0.0007010231,0.05996725,0.0002447105,0.00003151531,0.0003335768,0.1674289,0.001051653,0.0108204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006912321,"threshold_uncertainty_score":0.01374418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321184804113337,"score_gpt":0.2203807196372982,"score_spread":0.2071688715961649,"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."}}