{"id":"W2999095666","doi":"10.1111/mpp.12898","title":"Discriminant haplotypes of avirulence genes of <i>Phytophthora sojae</i> lead to a molecular assay to predict phenotypes","year":2020,"lang":"en","type":"article","venue":"Molecular Plant Pathology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Empresa Brasileira de Pesquisa Agropecuária; Canada Research Chairs; Agriculture and Agri-Food Canada; Western Grains Research Foundation; University of Guelph; Genome Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Phytophthora sojae; Biology; Virulence; Genetics; Gene; Amplicon; Allele; Polymerase chain reaction; Phenotype; Phytophthora; Haplotype; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002721133,0.0002926819,0.0001865428,0.0003509776,0.00009523529,0.0002248915,0.0001379965,0.000264193,0.0003586446],"category_scores_gemma":[0.0004867071,0.0001791885,0.0002560145,0.0001658002,0.0002532317,0.0001119838,0.0001864752,0.0004117845,0.0002009164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009112,"about_ca_system_score_gemma":0.00009848632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004714358,"about_ca_topic_score_gemma":0.0007291659,"domain_scores_codex":[0.9997491,0.00006698019,0.00002393318,0.00007328088,0.00005015967,0.0000365179],"domain_scores_gemma":[0.9995294,0.0001722478,0.0001574767,0.00005844063,0.00003685228,0.00004565058],"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":[0.0000570559,0.00002177935,0.006068106,0.00001303168,0.000006705938,0.00002811212,0.00002947022,0.00007038833,0.9924569,0.00001796672,0.000006370969,0.001224084],"study_design_scores_gemma":[0.00001765789,0.000723817,0.269761,0.00001069315,0.00005874316,0.001136854,0.0001203136,0.00230742,0.7248489,0.00007294199,0.0009281453,0.00001361358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960205,0.00009745336,0.003386404,0.00001804539,0.000003054381,0.00002175032,0.0001916649,0.00002733589,0.0002337789],"genre_scores_gemma":[0.9918289,0.00008629311,0.007323357,0.00001490199,0.000003119587,0.00002022804,0.0004764727,0.00001378828,0.0002329368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004714358,"threshold_uncertainty_score":0.001439095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657584535693071,"score_gpt":0.20798869041009,"score_spread":0.1914128450531593,"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."}}