{"id":"W2992359991","doi":"10.20944/preprints201912.0093.v1","title":"Genome-Wide Association Study for Resistance to the &lt;em&gt;Meloidogyne javanica&lt;/em&gt; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002436848,0.0005123997,0.000815428,0.00007644781,0.000476389,0.000232537,0.001008766,0.0002685149,0.0002731197],"category_scores_gemma":[0.0009984901,0.0002522909,0.0002648449,0.0005233724,0.00002734219,0.0001585677,0.002648721,0.0004582881,0.0005250045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793415,"about_ca_system_score_gemma":0.00002972816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006282159,"about_ca_topic_score_gemma":0.01443406,"domain_scores_codex":[0.9959077,0.0003557944,0.0009726634,0.001348724,0.0007449762,0.0006701616],"domain_scores_gemma":[0.9974096,0.0007344945,0.000836582,0.0005591469,0.000357237,0.0001029237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001411576,0.0003786581,0.9669047,0.0001380685,0.0002581864,0.000005860117,0.003271764,0.0003741567,0.02735186,0.000128689,0.0007280315,0.0003188846],"study_design_scores_gemma":[0.0003534155,0.00004183351,0.955228,0.0001295778,0.00009072403,1.787387e-7,0.001515488,0.00002819258,0.0006152161,0.000425504,0.04107433,0.000497509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869176,0.000158784,0.00006474631,0.005551609,0.0006975628,0.004389357,0.00008614762,0.000155595,0.001978653],"genre_scores_gemma":[0.9852649,0.00009112107,0.00003059324,0.0006248986,0.000415502,0.0008078471,0.0001945582,0.00001117864,0.01255943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0403463,"threshold_uncertainty_score":0.9999929,"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."}}