{"id":"W2271085992","doi":"10.1093/molbev/msw032","title":"Expression Divergence Is Correlated with Sequence Evolution but Not Positive Selection in Conifers","year":2016,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Genome British Columbia; Forest Genetics Council of British Columbia; Genome Canada","keywords":"Biology; Evolutionary biology; Gene; Selection (genetic algorithm); Genetics; Pinus contorta; Directional selection; Divergence (linguistics); Neutral theory of molecular evolution; Adaptive evolution; Balancing selection; Negative selection; Population; Abiotic component; Genome; Genetic variation; Ecology","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":[0.0000872973,0.0001368024,0.0001033467,0.00007280101,0.0001170253,0.000006318844,0.00007114201,0.000293427,0.0000240308],"category_scores_gemma":[0.00003349838,0.000102383,0.00002903833,0.000119358,0.0001732537,0.00001129564,0.00006044145,0.00007857339,0.000008661495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000544791,"about_ca_system_score_gemma":0.00005013336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323087,"about_ca_topic_score_gemma":0.00004321363,"domain_scores_codex":[0.9990844,0.0001211665,0.000127158,0.0003909922,0.00007349424,0.0002028449],"domain_scores_gemma":[0.9996684,0.000007936045,0.00007550084,0.0001024283,0.00009095123,0.00005474355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002885856,0.00001010133,0.1951468,0.000002999492,0.00001540934,0.000002311311,0.00002827234,0.00007889787,0.8032779,0.0007454819,0.00004702654,0.0003562314],"study_design_scores_gemma":[0.001119848,0.0004662599,0.4595761,0.0000533325,0.00002291568,0.00004953914,0.00005880397,0.0001496779,0.5369081,0.00115134,0.0001990928,0.0002449734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887977,0.0002068046,0.1104601,0.0001936608,0.00007400631,0.0001376197,0.00004398247,0.00001137289,0.00007470699],"genre_scores_gemma":[0.9989057,0.00005713895,0.0005725294,0.0001559792,0.00002490662,0.00000724714,0.00006527619,0.000006658294,0.000204628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2663697,"threshold_uncertainty_score":0.4175059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006317002976462804,"score_gpt":0.2299774499039821,"score_spread":0.2236604469275193,"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."}}