{"id":"W2961712465","doi":"10.1002/evl3.126","title":"Genomics of rapid ecological divergence and parallel adaptation in four tidal marsh sparrows","year":2019,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Biology; Lineage (genetic); Salt marsh; Evolutionary biology; Adaptation (eye); Ecology; Parallel evolution; Subspecies; Colonization; Selection (genetic algorithm); Directional selection; Local adaptation; Natural selection; Population; Habitat; Ecological speciation; Population genomics; Genomics; Phylogenetics; Genome; Genetic variation; Gene; Genetics; Gene flow","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":[0.00007218088,0.00006041971,0.00007464915,0.00004413386,0.0000208033,0.000004126082,0.00006186806,0.00006700747,0.0001069694],"category_scores_gemma":[0.00001162385,0.00006312544,0.0000276853,0.00005206546,0.00003829117,0.000004281896,0.00005025093,0.00004242285,0.000008134139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001639154,"about_ca_system_score_gemma":0.00001456628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003017249,"about_ca_topic_score_gemma":0.00006553069,"domain_scores_codex":[0.9995307,0.00004105895,0.0001117396,0.0001578763,0.00006558982,0.00009303032],"domain_scores_gemma":[0.9998015,0.000005848313,0.00005932388,0.00009080826,0.00001801339,0.00002457123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116012,0.00001634327,0.7056293,0.00001760248,0.00001628669,0.0000013402,0.0001134355,0.06454816,0.2271343,0.000349113,0.001471033,0.0005914827],"study_design_scores_gemma":[0.0005009857,0.00007550756,0.9929894,0.000003426158,0.000005533409,0.000003336658,0.00006600181,0.001969156,0.0007867122,0.00008966176,0.003418503,0.00009181456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956949,0.0001132702,0.003478566,0.0002941807,0.0001373418,0.0001161588,0.000009181197,0.000002725427,0.0001536639],"genre_scores_gemma":[0.9973522,0.00003692287,0.002095107,0.0002946762,0.00003231119,0.000001550469,0.00002466201,0.000002861541,0.0001597023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.28736,"threshold_uncertainty_score":0.2574181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125280546373531,"score_gpt":0.197410899453684,"score_spread":0.1861580939899487,"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."}}