{"id":"W2120801652","doi":"10.1098/rspb.2011.1805","title":"Divergent selection and heterogeneous migration rates across the range of Sitka spruce (<i>Picea sitchensis</i>)","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Biology; Selection (genetic algorithm); Local adaptation; Gene flow; Population; Range (aeronautics); Evolutionary biology; Directional selection; Allele; Single-nucleotide polymorphism; Natural selection; Coalescent theory; Genetic variation; Genetics; Ecology; Gene; Demography; Genotype; Phylogenetics","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":[0.0002737827,0.00007835917,0.00008519844,0.000003297365,0.0003252445,0.00001655382,0.0002574364,0.0001086875,0.00001511578],"category_scores_gemma":[0.00004705734,0.00003858078,0.0001123244,0.0001205418,0.000524822,0.000004760033,0.0002252766,0.0000470792,3.093798e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003433732,"about_ca_system_score_gemma":0.000008036647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009818401,"about_ca_topic_score_gemma":0.00001177691,"domain_scores_codex":[0.9994283,0.00001297758,0.0001187742,0.0001890134,0.0001217231,0.0001292149],"domain_scores_gemma":[0.9996707,0.000009151434,0.0001475247,0.00003678662,0.0001108287,0.00002495249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002790364,0.00001734567,0.793909,0.00001009356,0.00002302881,7.906665e-9,0.00103308,0.00004159087,0.204425,0.00008065239,0.0001791837,0.0002531138],"study_design_scores_gemma":[0.0001229318,0.0002936476,0.6211962,0.000005857336,0.000019255,0.000002839354,0.00120113,0.0002907718,0.3760973,0.0004343883,0.0002497007,0.0000859849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993172,0.0002456923,0.00002380462,0.0001159418,0.00005490376,0.0001134999,0.000008963081,0.000004125887,0.0001158725],"genre_scores_gemma":[0.9990683,0.0001207678,0.0005985858,0.0001212712,0.00003520706,0.000002136172,0.000001061102,0.000001401935,0.00005128731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727128,"threshold_uncertainty_score":0.2501551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852787586000845,"score_gpt":0.2440664474210844,"score_spread":0.2155385715610759,"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."}}