{"id":"W2121548838","doi":"10.1111/nph.13643","title":"Evidence for extensive parallelism but divergent genomic architecture of adaptation along altitudinal and latitudinal gradients in <i><scp>P</scp>opulus trichocarpa</i>","year":2015,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; University of Northern British Columbia; National Science Foundation","keywords":"Transect; Biology; Adaptation (eye); Evolutionary biology; Populus trichocarpa; Ecology; Parallel evolution; Altitude (triangle); Latitude; Phylogenetic tree; Local adaptation; Genetic architecture; Quantitative trait locus; Gene; Geography; Genetics; Genome; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002831103,0.0001974972,0.0002346796,0.0008904996,0.0003665095,0.0004187845,0.0002667407,0.0002795297,0.001079087],"category_scores_gemma":[0.0006787999,0.0002204434,0.0002712092,0.0006896625,0.0005941718,0.0002871573,0.0006103666,0.0004458374,0.0001418591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032151,"about_ca_system_score_gemma":0.0002077876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205853,"about_ca_topic_score_gemma":0.00475789,"domain_scores_codex":[0.9997254,0.00004543778,0.0000181963,0.0001412529,0.00003761863,0.00003202907],"domain_scores_gemma":[0.9992235,0.0001925477,0.000288209,0.0001032152,0.0000818628,0.0001106238],"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":[0.000691086,0.00009909904,0.3977404,0.0001112296,0.0004105462,0.0003131932,0.001540088,0.001347475,0.5813784,0.0009444273,0.0001280468,0.01529602],"study_design_scores_gemma":[0.000008314573,0.00003835,0.9963138,0.000003594376,0.00003423715,0.0001915626,0.0001372941,0.0009979049,0.001823013,0.0002684826,0.000173821,0.000009613695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991425,0.00003667935,0.0004328775,0.00001379709,6.692849e-7,0.000002442944,0.00005868638,0.000009032074,0.0003032281],"genre_scores_gemma":[0.999432,0.00002058331,0.0002972967,0.00001385629,0.000001883113,0.000004131518,0.0001476772,0.00000563971,0.00007678864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205853,"threshold_uncertainty_score":0.004093051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08159912204387412,"score_gpt":0.2907034753931665,"score_spread":0.2091043533492924,"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."}}