{"id":"W2277187117","doi":"10.1371/journal.pone.0142864","title":"Evolutionary Quantitative Genomics of Populus trichocarpa","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; Université Laval; Centre de Géomatique du Québec","funders":"Genome British Columbia; Genome Canada","keywords":"Biology; Populus trichocarpa; Local adaptation; Population genomics; Quantitative trait locus; Evolutionary biology; Adaptation (eye); Population; Genomics; Ecological selection; Genetic architecture; Ecology; Genetics; Genome; Gene","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":[0.0001552374,0.000217676,0.00009902516,0.0003923323,0.0001155143,0.0001461986,0.00009942465,0.00008486452,0.000483889],"category_scores_gemma":[0.0002486501,0.00007305532,0.0001602369,0.0003110936,0.0001091076,0.0000722859,0.0001273583,0.0001225127,0.00005653803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853104,"about_ca_system_score_gemma":0.00009997663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002124403,"about_ca_topic_score_gemma":0.002656053,"domain_scores_codex":[0.9999232,0.00001762705,0.000002891219,0.00003117752,0.00001609378,0.000009051277],"domain_scores_gemma":[0.9999015,0.00003395067,0.00003333086,0.000008051764,0.00001160006,0.00001149065],"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":[0.0001822025,0.00002822214,0.05616616,0.00006596824,0.00009306199,0.0001437583,0.0002938849,0.00109743,0.923835,0.0003312129,0.00006427211,0.01769887],"study_design_scores_gemma":[0.000005515285,0.00006045124,0.9845915,0.000002914561,0.00002901207,0.0002460881,0.00006550134,0.002346817,0.01194581,0.0002153223,0.000485135,0.000006078802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983069,0.00006398003,0.001118801,0.00001282406,5.312509e-7,0.000003803803,0.0001791096,0.00001985494,0.0002942532],"genre_scores_gemma":[0.998449,0.00005001505,0.000950999,0.000008856211,0.000001485954,0.00001051047,0.000340452,0.000009467391,0.0001793265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002124403,"threshold_uncertainty_score":0.004224122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06382034871332046,"score_gpt":0.2537435851307254,"score_spread":0.189923236417405,"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."}}