{"id":"W4387767118","doi":"10.1002/agg2.20437","title":"Kabuli chickpea seed quality diversity and preliminary genome‐wide association study identifies markers and potential candidate genes","year":2023,"lang":"en","type":"article","venue":"Agrosystems Geosciences & Environment","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; USA Dry Pea and Lentil Council; Washington State University; U.S. Department of Agriculture","keywords":"Biology; Single-nucleotide polymorphism; Quantitative trait locus; Candidate gene; Genetic association; Marker-assisted selection; Genome; SNP; Genome-wide association study; Genetics; Plant breeding; Biotechnology; SNP array; Molecular marker; Genetic marker; Gene; Molecular breeding; Agronomy; Genotype","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001189615,0.0002021691,0.0002531238,0.00002164612,0.002034855,0.0001044215,0.0002108597,0.00006902303,0.00004349396],"category_scores_gemma":[0.00002688222,0.00009901653,0.00005112228,0.0001621402,0.0002240011,0.0001535948,0.001666248,0.00007208524,0.00004609261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009375574,"about_ca_system_score_gemma":0.000002120777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783354,"about_ca_topic_score_gemma":0.0005271843,"domain_scores_codex":[0.9978045,0.0002244704,0.000292851,0.0006199809,0.0006536879,0.0004044906],"domain_scores_gemma":[0.9994184,0.0001698341,0.0001895291,0.00008499042,0.000006683772,0.0001304961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002175685,0.00007187254,0.9806418,0.00001153437,0.00003631728,0.000007298481,0.001389165,0.00005293356,0.01631031,6.11832e-7,0.00005448401,0.001401866],"study_design_scores_gemma":[0.0001904439,0.0003969616,0.9793035,0.000006338892,0.00004391835,0.00000195048,0.0189629,0.0000592352,0.00006003746,0.0000319863,0.0007264159,0.0002162893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977312,0.0007032615,0.000003555178,0.0006692069,0.0002074533,0.000547132,0.0000495368,0.00004851981,0.00004010807],"genre_scores_gemma":[0.9965045,0.00178168,0.000008413042,0.00005196208,0.00006590622,0.00003551699,0.00002647114,0.00000136896,0.001524114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01757373,"threshold_uncertainty_score":0.9992644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145644674274747,"score_gpt":0.1956827341953924,"score_spread":0.1811182667679178,"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."}}