{"id":"W3216615836","doi":"10.3390/genes12121897","title":"Genome-Wide Association Mapping for Heat and Drought Adaptive Traits in Pea","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Pulse Growers; Western Grains Research Foundation; Ministry of Agriculture - Saskatchewan","keywords":"Biology; Genome; Genome-wide association study; Genetics; Association mapping; Association (psychology); Computational biology; Genotype; Gene; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000636677,0.0001629429,0.0002625285,0.0009146446,0.0003247521,0.0003549992,0.0001884081,0.000260604,0.001034065],"category_scores_gemma":[0.0007437482,0.000145102,0.0004515426,0.001189319,0.0002155623,0.0001185182,0.0003227776,0.0003014007,0.0001134226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209962,"about_ca_system_score_gemma":0.000226737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574224,"about_ca_topic_score_gemma":0.00404615,"domain_scores_codex":[0.9996768,0.00009040434,0.00002816261,0.000126012,0.00004807496,0.00003068311],"domain_scores_gemma":[0.9995004,0.0002076728,0.0001346176,0.00004877097,0.00003777094,0.0000707696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001364836,0.0001688501,0.6874437,0.0001547909,0.001069515,0.001219545,0.0005907902,0.0007930169,0.2831258,0.0003989837,0.0002814653,0.02338869],"study_design_scores_gemma":[0.00001892051,0.000100535,0.997034,0.0000054873,0.0001189594,0.000243069,0.00006321572,0.0006195351,0.001387296,0.0000808132,0.0003229628,0.000005236628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984595,0.0002034488,0.0009683197,0.00002052326,0.000004556658,0.000006248028,0.0001288126,0.00001149128,0.0001970642],"genre_scores_gemma":[0.9986292,0.00008413334,0.0008754439,0.00001449248,0.00000384999,0.000007607097,0.0001883965,0.000004308224,0.0001925765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001574224,"threshold_uncertainty_score":0.003459275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501573302655099,"score_gpt":0.1923268848046068,"score_spread":0.1673111517780558,"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."}}