{"id":"W3158780063","doi":"10.1093/molbev/msab143","title":"Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly","year":2021,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Genome Canada; Universitetet i Oslo; McGill University; Norges Forskningsråd; Norwegian Sequencing Centre; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Biology; Variation (astronomy); Genetic variation; Evolutionary biology; Geographic variation; Algae; Ecology; Genetics; Demography; Gene; Population","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":[0.0001337363,0.000120753,0.0001773553,0.0006308832,0.0002017896,0.0003133149,0.0001398059,0.0001963853,0.0006409947],"category_scores_gemma":[0.0003955697,0.0001363098,0.0001765654,0.0004116081,0.0002627434,0.0001715112,0.0003317461,0.0002672886,0.0001118263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647059,"about_ca_system_score_gemma":0.0001483627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003934449,"about_ca_topic_score_gemma":0.01147257,"domain_scores_codex":[0.9998906,0.0000164959,0.000007024444,0.00004313606,0.00001861783,0.00002421004],"domain_scores_gemma":[0.9998298,0.00004919698,0.00005996613,0.00001621775,0.0000200391,0.00002480285],"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":[0.0001669564,0.00003060231,0.1426748,0.00005328872,0.0001135455,0.000142973,0.0004924596,0.001300276,0.8455551,0.0004105186,0.00006591409,0.008993537],"study_design_scores_gemma":[0.000007867761,0.00003818914,0.9892626,0.000006935215,0.00003723373,0.00009190826,0.0002332803,0.00185575,0.007867252,0.0001811564,0.0004060881,0.00001173432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991913,0.00005205756,0.0004824109,0.00000681153,5.346096e-7,0.000001776689,0.00008400908,0.000008146661,0.0001729717],"genre_scores_gemma":[0.9991473,0.00004089007,0.0004795982,0.00001508875,0.000001043571,0.000002699344,0.0001900076,0.00000613511,0.0001172595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003934449,"threshold_uncertainty_score":0.00782311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006108311544885745,"score_gpt":0.2107784174411721,"score_spread":0.2046701058962863,"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."}}