{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006124761,0.0004175727,0.0003618525,0.0008314046,0.0003281247,0.0003145396,0.0002999264,0.0002246317,0.001081987],"category_scores_gemma":[0.0003609969,0.0002650324,0.0007542996,0.0008389886,0.0002415958,0.0001606129,0.0003423959,0.0006161163,0.0004150682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528752,"about_ca_system_score_gemma":0.0004134678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00690019,"about_ca_topic_score_gemma":0.01187991,"domain_scores_codex":[0.9997745,0.00004240608,0.00001125,0.00008700234,0.00005870995,0.00002612384],"domain_scores_gemma":[0.9998554,0.00004545739,0.00002675204,0.00002480857,0.00002796209,0.00001959802],"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":[0.00021054,0.0000545876,0.001975624,0.00008035122,0.0000456894,0.0001103165,0.00008241892,0.001368387,0.9840502,0.0005069063,0.0001740202,0.01134105],"study_design_scores_gemma":[0.0005980087,0.001024029,0.4366314,0.00008720559,0.0004582993,0.001283197,0.0002596652,0.04928476,0.4759925,0.002658246,0.03159303,0.0001296669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224643,0.0009551334,0.1632053,0.0001674563,0.00004956989,0.0005347629,0.007587304,0.0007619353,0.004274155],"genre_scores_gemma":[0.8078001,0.0009238478,0.1691395,0.0001304811,0.00002424706,0.0004248387,0.01755835,0.0001718885,0.003826726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00690019,"threshold_uncertainty_score":0.01372004,"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."}}