{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027981,0.0001633799,0.0002782224,0.0006966505,0.0002917069,0.0004151598,0.0001082809,0.0001500785,0.0004204443],"category_scores_gemma":[0.000419429,0.0001354688,0.000103791,0.0006277771,0.000447815,0.0002067004,0.0002371154,0.0002763979,0.00009290695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647452,"about_ca_system_score_gemma":0.0001529518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630092,"about_ca_topic_score_gemma":0.002798157,"domain_scores_codex":[0.9997919,0.00003415943,0.00001411619,0.00007943837,0.00003966919,0.00004077609],"domain_scores_gemma":[0.9993999,0.0001733305,0.0002106562,0.00003134534,0.00008085616,0.0001038526],"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":[0.0002419238,0.00003121265,0.1936054,0.00005082283,0.00004476954,0.0001337469,0.0003693234,0.0002512487,0.8001109,0.0001725632,0.00003605364,0.004952081],"study_design_scores_gemma":[0.000005579423,0.00005605634,0.9913023,0.00000266854,0.00001123313,0.0002196478,0.0001032454,0.0004390115,0.007508389,0.0001645116,0.0001813536,0.000005943622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994627,0.0001112972,0.0001729238,0.000007211388,6.112971e-7,9.468596e-7,0.00005406875,0.000004367492,0.0001860076],"genre_scores_gemma":[0.9994552,0.00003974435,0.0001740057,0.00001186777,0.00000230543,0.000002715699,0.0001805073,0.000003938411,0.0001298355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001630092,"threshold_uncertainty_score":0.003241181,"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."}}