{"id":"W2800249419","doi":"10.1111/pbi.12930","title":"High‐density genetic map using whole‐genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut","year":2018,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agricultural Research Service; National Peanut Board; Peanut Research Foundation; Georgia Peanut Commission; Bill and Melinda Gates Foundation; U.S. Department of Agriculture","keywords":"Quantitative trait locus; Biology; Candidate gene; Genetics; Epistasis; Family-based QTL mapping; Gene mapping; Genetic linkage; Population; Locus (genetics); Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0005245039,0.0001678151,0.0002715088,0.0001023448,0.0007042162,0.0001128177,0.0002764724,0.0001385338,0.000004634264],"category_scores_gemma":[0.000238511,0.00007800617,0.00005522194,0.0001885465,0.0003076625,0.0001447458,0.0001779129,0.0002590826,4.675267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150951,"about_ca_system_score_gemma":0.00003616155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001537127,"about_ca_topic_score_gemma":0.00500633,"domain_scores_codex":[0.9985279,0.00005344467,0.0002979776,0.0003631862,0.0001500912,0.0006073408],"domain_scores_gemma":[0.9993442,0.0002263853,0.0001529958,0.00007158548,0.00008368674,0.0001211928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004665654,0.00002470003,0.005537326,0.00004400255,0.00003421533,0.0001493126,0.00003969738,0.000004127503,0.9914509,0.0001211853,0.0004054811,0.001722467],"study_design_scores_gemma":[0.003802361,0.001718356,0.7556609,0.001347064,0.0001539283,0.001206363,0.0008911304,0.00248911,0.1302851,0.037746,0.06287681,0.00182287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879203,0.002306428,0.0008729745,0.006806451,0.0001198736,0.0003770927,0.001563335,0.00003172739,0.000001853241],"genre_scores_gemma":[0.9909838,0.0007564211,0.007193121,0.0000725283,0.0006223224,0.00001885757,0.0002294005,0.000001308492,0.0001222409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8611658,"threshold_uncertainty_score":0.5416333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03416008668708637,"score_gpt":0.2431388359007494,"score_spread":0.208978749213663,"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."}}