{"id":"W1564268050","doi":"10.1002/ece3.52","title":"Regulatory versus coding signatures of natural selection in a candidate gene involved in the adaptive divergence of whitefish species pairs (<i>Coregonus</i> spp.)","year":2011,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Coregonus; Biology; Natural selection; Gene; Selection (genetic algorithm); Evolutionary biology; Genetics; Divergence (linguistics); Computational biology; Fishery; Fish <Actinopterygii>; Artificial intelligence; Computer science","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":[0.0001362126,0.0001314849,0.0001959299,0.0004101793,0.0001862659,0.0001576455,0.0001322866,0.0001635288,0.0007425881],"category_scores_gemma":[0.0002323977,0.0001287168,0.0001860089,0.000205879,0.0003175485,0.0000890219,0.0002764237,0.0002031066,0.00009734878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811937,"about_ca_system_score_gemma":0.0001643568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429987,"about_ca_topic_score_gemma":0.003520467,"domain_scores_codex":[0.9998443,0.00001916127,0.00001016473,0.00008491873,0.00002301135,0.00001846959],"domain_scores_gemma":[0.9997608,0.00005850904,0.00008617414,0.00001495481,0.00002607832,0.00005348894],"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":[0.0004113493,0.0000317973,0.06705432,0.000067495,0.00005189715,0.0001686425,0.0003057247,0.0001044235,0.9269641,0.0001490145,0.00003449123,0.004656622],"study_design_scores_gemma":[0.00002318084,0.0001431335,0.9866747,0.000008292494,0.00004166956,0.0003948837,0.000147792,0.0007693795,0.01125916,0.0001002898,0.0004282981,0.000009142866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995623,0.00005738913,0.0001701326,0.000008803637,0.000001074481,0.000002546225,0.00004932606,0.000004209144,0.0001442317],"genre_scores_gemma":[0.9992506,0.00002225694,0.000303532,0.00002876014,0.000002234066,0.000009431034,0.0001808179,0.000004217908,0.0001980761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001429987,"threshold_uncertainty_score":0.00284332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609420536215387,"score_gpt":0.2037687061599456,"score_spread":0.1876745007977918,"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."}}