{"id":"W4362692850","doi":"10.1007/s00122-023-04327-9","title":"Identification of quantitative trait loci and development of diagnostic markers for growth habit traits in peanut (Arachis hypogaea L.)","year":2023,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Biology; Arachis hypogaea; Indel; Quantitative trait locus; Point of delivery; Habit; Arachis; Single-nucleotide polymorphism; Crop; Agronomy; Genetics; Genotype; Horticulture; 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":[0.0005179297,0.0000895452,0.0001881705,0.00002525659,0.00006861788,0.00001030681,0.00009069143,0.00004290058,0.00001100897],"category_scores_gemma":[0.0003145352,0.00004127008,0.00002032672,0.0001882607,0.0005054894,0.00001188591,0.00007391317,0.00004762255,5.259081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000053249,"about_ca_system_score_gemma":0.000007145333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002440178,"about_ca_topic_score_gemma":0.0000245358,"domain_scores_codex":[0.999136,0.00003404576,0.0003012235,0.0001876502,0.0001504856,0.000190539],"domain_scores_gemma":[0.9978678,0.001953805,0.0000617752,0.00001992889,0.00004410166,0.00005260344],"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":[0.0003270853,0.0001370477,0.002564341,0.0002791084,0.0000452663,0.000001342568,0.001749285,0.00001054755,0.5987408,0.2458884,0.0001450333,0.1501117],"study_design_scores_gemma":[0.0004628584,0.0003103887,0.8473195,0.00004254344,0.00002033319,7.964215e-7,0.002384336,0.0006064997,0.07240276,0.07612621,0.0001316833,0.0001920671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998746,0.0001566185,0.0001180119,0.0002760378,0.000005915739,0.0003530014,0.0001486834,0.00001073564,0.0001850117],"genre_scores_gemma":[0.9984888,0.0004136149,0.0009247325,0.000009280652,0.0000120536,0.00004935585,0.00009096823,5.713867e-7,0.00001057792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8447552,"threshold_uncertainty_score":0.1862497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370504830372694,"score_gpt":0.2566885588705322,"score_spread":0.2329835105668052,"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."}}