{"id":"W2562192001","doi":"10.1186/s12859-016-1387-9","title":"Prior knowledge guided eQTL mapping for identifying candidate genes","year":2016,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Computational biology; DNA microarray; Expression quantitative trait loci; Gene; Biology; Genetics; Candidate gene; Gene expression; Single-nucleotide polymorphism; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268681,0.0001254892,0.0001613475,0.00001913111,0.0002272591,0.00006191617,0.0002116155,0.0000988933,0.00009148832],"category_scores_gemma":[0.00006243323,0.00003841446,0.0001054804,0.0001236422,0.00004365111,0.0001134,0.00008157882,0.0000272068,0.0001189454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001544676,"about_ca_system_score_gemma":0.00001802411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001041592,"about_ca_topic_score_gemma":0.0002767985,"domain_scores_codex":[0.999117,0.00001883326,0.0003426344,0.0001244963,0.00008042928,0.0003166228],"domain_scores_gemma":[0.9994407,0.0002021386,0.0001056151,0.00006759031,0.0001028506,0.00008112629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002204103,0.00004264354,0.003956678,0.0001474938,0.0000184739,7.756386e-7,0.000604422,0.000002896067,0.2039413,0.000758319,0.008267324,0.7822376],"study_design_scores_gemma":[0.002967742,0.0009355717,0.06713922,0.0007453473,0.0001274978,0.0001608744,0.00319284,0.02334859,0.1022873,0.006116338,0.7907736,0.002205073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638121,0.000719704,0.03024794,0.0004841027,0.0009021266,0.0006025438,0.0001977103,0.0001136294,0.002920204],"genre_scores_gemma":[0.8418761,0.0009756632,0.1455559,0.0005703286,0.002632488,0.0001798338,0.0002141964,0.000007730296,0.007987729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7825063,"threshold_uncertainty_score":0.1747916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08867604310489179,"score_gpt":0.2864843301914792,"score_spread":0.1978082870865874,"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."}}