{"id":"W2155414868","doi":"","title":"Genetic analysis, QTL mapping and gene expression analysis of key visual quality traits affecting the market value of field pea","year":2011,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saskatchewan Pulse Growers; Western Grains Research Foundation; College of Agriculture and Bioresources, University of Saskatchewan; Ministry of Agriculture - Saskatchewan","keywords":"Quantitative trait locus; Biology; Genetics; Gene; Field (mathematics); Key (lock); Family-based QTL mapping; Genetic analysis; Value (mathematics); Expression (computer science); Computational biology; Gene mapping; Computer science; Machine learning; Mathematics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589313,0.0002763312,0.0002067918,0.0006252624,0.0002332314,0.0003113387,0.0002827524,0.0001689914,0.0007183046],"category_scores_gemma":[0.0001862172,0.0002233007,0.0002735187,0.0004042419,0.0002199471,0.0001144432,0.0001938241,0.0004081431,0.000114698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306319,"about_ca_system_score_gemma":0.000588307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02432193,"about_ca_topic_score_gemma":0.05484973,"domain_scores_codex":[0.9998683,0.00001441851,0.000008982607,0.00005704628,0.00002590246,0.00002548673],"domain_scores_gemma":[0.9998183,0.00005616307,0.00003964199,0.00001577441,0.00003222527,0.00003793481],"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":[0.0001062471,0.0000404025,0.004831038,0.00002014164,0.00001388312,0.00008116362,0.00008970913,0.0002889198,0.991713,0.00008751819,0.00002672633,0.002701272],"study_design_scores_gemma":[0.0001187502,0.0006058647,0.7647956,0.00001686151,0.000123295,0.0005652302,0.0005474527,0.005933298,0.2237749,0.0003273926,0.003150868,0.00004044246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975471,0.00008030327,0.00159623,0.00001793708,0.000001797318,0.00002322503,0.000402053,0.00002242203,0.0003089141],"genre_scores_gemma":[0.9902056,0.0001662646,0.005154593,0.00003168795,0.000002388661,0.00005094599,0.001609217,0.00003303526,0.002746338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02432193,"threshold_uncertainty_score":0.04836076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064564959949349,"score_gpt":0.1863283271922411,"score_spread":0.1756826775927476,"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."}}