{"id":"W2992359991","doi":"10.20944/preprints201912.0093.v1","title":"Genome-Wide Association Study for Resistance to the <em>Meloidogyne javanica</em> Causing Root-Knot Nematode in Soybean","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Genetics; Single-nucleotide polymorphism; Germplasm; Haplotype; Locus (genetics); Meloidogyne javanica; Quantitative trait locus; Association mapping; Root-knot nematode; Gene; Candidate gene; Genome-wide association study; Genome; Chromosome; Genotyping; Genotype; Nematode; Botany","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":[0.0004387514,0.0002042185,0.000247876,0.0005391303,0.0002361617,0.0002961109,0.0001604985,0.000251315,0.001249764],"category_scores_gemma":[0.0004542687,0.000110324,0.000424568,0.0007074276,0.0001142241,0.00009452858,0.0001823023,0.0003374311,0.0001195571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386548,"about_ca_system_score_gemma":0.000137678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194388,"about_ca_topic_score_gemma":0.006987343,"domain_scores_codex":[0.9997165,0.00005778811,0.00003397719,0.0001209931,0.00003785928,0.00003288077],"domain_scores_gemma":[0.9996424,0.00007637044,0.0001327766,0.00003451114,0.00003166715,0.00008234273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009006367,0.00008543972,0.9487272,0.00005033882,0.0005658785,0.0004468187,0.0001389051,0.00009125602,0.04289798,0.00006475373,0.0002111936,0.005819719],"study_design_scores_gemma":[0.00001137375,0.00004176484,0.9988928,0.000003276617,0.0001112765,0.0001556872,0.00003894653,0.0001620577,0.0003723807,0.00001128632,0.0001967226,0.000002420717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991843,0.000186601,0.0001575022,0.00002867946,0.000005778443,0.000003492411,0.0002491075,0.000004686488,0.000179784],"genre_scores_gemma":[0.9992718,0.00006895675,0.0002254093,0.00001786162,0.000003598494,0.000003358618,0.000266846,0.000003497663,0.0001387189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003194388,"threshold_uncertainty_score":0.00635159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06890771726029145,"score_gpt":0.2927336124248294,"score_spread":0.223825895164538,"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."}}