{"id":"W4405759961","doi":"10.1111/mec.17574","title":"Population Genomics of Adaptive Radiation","year":2024,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; University of Wyoming; National Science Foundation","keywords":"Biology; Population genomics; Genomics; Adaptive radiation; Population; Evolutionary biology; Computational biology; Genetics; Genome; Demography; Gene; Phylogenetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225821,0.0003206524,0.0006821186,0.0008889545,0.0006527783,0.001724416,0.0006688369,0.001446238,0.002962677],"category_scores_gemma":[0.001859951,0.0002241191,0.0005166351,0.001067753,0.001135886,0.001967051,0.001236795,0.001956814,0.0007979433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116484,"about_ca_system_score_gemma":0.0006931403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282905,"about_ca_topic_score_gemma":0.0009652126,"domain_scores_codex":[0.9995308,0.0001393687,0.00002183957,0.000174554,0.00007970556,0.00005375535],"domain_scores_gemma":[0.9994408,0.0002473918,0.00007871348,0.00006498127,0.000106288,0.00006176242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001848328,0.00005582082,0.02137428,0.002139959,0.0005110874,0.0005650956,0.00185892,0.008842752,0.1217421,0.4131012,0.01770188,0.4119221],"study_design_scores_gemma":[0.00003814629,0.0002464661,0.08434824,0.0005999936,0.0002054771,0.001060327,0.0009426495,0.008104075,0.01052426,0.4928041,0.4009796,0.0001467877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2002701,0.2222356,0.3677794,0.02793692,0.002125611,0.0002489293,0.006951847,0.002175322,0.1702763],"genre_scores_gemma":[0.8120859,0.06678089,0.08838889,0.009464366,0.00176691,0.0003939238,0.005796602,0.0004817438,0.01484085],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002962677,"threshold_uncertainty_score":0.00991112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704224625077117,"score_gpt":0.2842330743695539,"score_spread":0.2671908281187827,"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."}}