{"id":"W4393096541","doi":"10.1093/evolut/qpae049","title":"Temperature-dependent gene regulatory divergence underlies local adaptation with gene flow in the Atlantic silverside","year":2024,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Science Foundation","keywords":"Biology; Local adaptation; Gene flow; Adaptation (eye); Gene; Evolutionary biology; Regulation of gene expression; Genetics; Gene regulatory network; Gene expression; Genetic variation; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000130675,0.0001017387,0.00005988459,0.00004847708,0.0001030115,0.0000380619,0.0001165763,0.0001124865,0.00001857034],"category_scores_gemma":[0.000007563262,0.00007518889,0.00003707772,0.000142951,0.0000644798,0.00000960928,0.00003437563,0.00009636085,0.00001650668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004390881,"about_ca_system_score_gemma":0.00007305931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568862,"about_ca_topic_score_gemma":0.0006576857,"domain_scores_codex":[0.9992429,0.00006998186,0.00009938292,0.0002454683,0.0002117101,0.0001305648],"domain_scores_gemma":[0.999726,0.000007658829,0.00002333498,0.0001798284,0.00003761071,0.0000255772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003642324,0.00007348392,0.03213597,0.00009416012,0.0001637662,0.00009544475,0.002677265,0.516754,0.4324788,0.002687467,0.006028686,0.006446682],"study_design_scores_gemma":[0.001490867,0.0006573969,0.8437738,0.000141592,0.0002128917,0.0003796687,0.006075724,0.04279719,0.09483577,0.001900125,0.006849401,0.000885556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948934,0.001534048,0.04884623,0.0001767693,0.0002503576,0.0001374644,0.00001516693,0.00001636951,0.00008962156],"genre_scores_gemma":[0.9984196,0.00006635392,0.0007983108,0.00008325781,0.0001389766,0.000004927026,0.0002213898,0.000007278117,0.0002598894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8116378,"threshold_uncertainty_score":0.3066114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007869321734698625,"score_gpt":0.2020544345233161,"score_spread":0.1941851127886175,"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."}}