{"id":"W4226484281","doi":"10.1093/plphys/kiac198","title":"Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance","year":2022,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"Agricultural Research Service; North Carolina State University; U.S. Department of Agriculture; University of California, San Diego; National Science Foundation","keywords":"Cutin; Biology; Candidate gene; Cuticle (hair); Genome-wide association study; Gene; Transcriptome; Genetic architecture; Genome; Plant cuticle; Quantitative trait locus; Genetics; Botany; Wax; Gene expression; Biochemistry; Genotype; Single-nucleotide polymorphism","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":[0.001038979,0.0006737811,0.0005628093,0.001860246,0.0003181375,0.0005309911,0.0003216557,0.0003586987,0.001848666],"category_scores_gemma":[0.0007607478,0.0002384719,0.001003288,0.002008995,0.0002414944,0.0002479782,0.0006890222,0.0004670664,0.0001436371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388734,"about_ca_system_score_gemma":0.0004728312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377282,"about_ca_topic_score_gemma":0.007656149,"domain_scores_codex":[0.9992471,0.000191374,0.00005906931,0.0003117548,0.0001061496,0.00008465532],"domain_scores_gemma":[0.9993184,0.0002319092,0.0001961734,0.00009732223,0.00005813288,0.00009809396],"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":[0.002458223,0.0002994809,0.4047112,0.0002545183,0.003260523,0.001032086,0.00062918,0.004165944,0.5343131,0.001801805,0.0004360335,0.04663783],"study_design_scores_gemma":[0.0001151571,0.0004389911,0.9713273,0.00002037504,0.001282706,0.0004764631,0.0002203329,0.0106072,0.01222751,0.001054875,0.002190259,0.0000387045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897566,0.00025198,0.008021391,0.00005446977,0.000009739588,0.00003805258,0.001286423,0.0001058275,0.0004753922],"genre_scores_gemma":[0.9862574,0.0001546576,0.01157157,0.00006511518,0.00001225292,0.00004627832,0.001311101,0.00005171589,0.0005300571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003377282,"threshold_uncertainty_score":0.006715238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569770598225278,"score_gpt":0.1924904992690953,"score_spread":0.1767927932868425,"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."}}