{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005697325,0.0001444858,0.0001360711,0.00008466655,0.0001345638,0.000009656494,0.00007034896,0.0003125865,0.00001725707],"category_scores_gemma":[0.00003321193,0.00014726,0.00006949437,0.0001333248,0.0001119671,0.000003462663,0.0001873819,0.00008915786,0.000005267048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003127057,"about_ca_system_score_gemma":0.00002803983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009518147,"about_ca_topic_score_gemma":0.0006545148,"domain_scores_codex":[0.9989598,0.00020148,0.0001578213,0.0004049657,0.00006936424,0.0002065998],"domain_scores_gemma":[0.9995931,0.000006935751,0.00005633437,0.0001912598,0.00007974107,0.00007256443],"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":[0.0001224938,0.00003985153,0.2517118,0.000009726983,0.00006286309,0.00001392202,0.0000487466,0.001624729,0.7437783,0.001825957,0.00004019413,0.0007213727],"study_design_scores_gemma":[0.0008520162,0.000155042,0.9737557,0.00001166086,0.00003410571,0.00003635231,0.00004486823,0.001516898,0.01782096,0.00519002,0.0003826896,0.0001996858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586009,0.001836294,0.03898679,0.0001813626,0.0001207277,0.0001224975,0.00002511463,0.000008711882,0.0001176209],"genre_scores_gemma":[0.997842,0.0002595812,0.001171056,0.0002121002,0.00003336918,0.000007597876,0.0003529177,0.000007621998,0.0001137247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7259573,"threshold_uncertainty_score":0.6005089,"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."}}