{"id":"W4366997662","doi":"10.1093/sysbio/syad026","title":"Hybridization and Transgressive Evolution Generate Diversity in an Adaptive Radiation of<i>Anolis</i>Lizards","year":2023,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation of Sri Lanka; National Institutes of Health; National Science Foundation","keywords":"Biology; Introgression; Anolis; Adaptive radiation; Evolutionary biology; Range (aeronautics); Transgressive segregation; Lineage (genetic); Clade; Reticulate evolution; Coalescent theory; Phylogenetic tree; Ecology; Lizard; Genetics; Quantitative trait locus; Gene","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":[0.0003569582,0.00007593349,0.0002328689,0.00007893441,0.00007050712,0.000002856893,0.0000861789,0.0001112811,0.00002866523],"category_scores_gemma":[0.00003670068,0.00005971847,0.00002180644,0.0002250041,0.0001807641,0.00007927533,0.0001315629,0.00004024144,0.00003118264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007824771,"about_ca_system_score_gemma":0.000007895384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002198178,"about_ca_topic_score_gemma":0.0002185945,"domain_scores_codex":[0.9989545,0.0004050926,0.0002347572,0.000210651,0.00005893728,0.0001360772],"domain_scores_gemma":[0.9996603,0.00004287381,0.0001408345,0.0001110124,0.000009569366,0.00003547255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006886764,0.00005627784,0.9111792,0.001196543,0.0000307968,0.000007925736,0.004728446,0.003453507,0.07392736,0.004518041,0.00004379786,0.0007891789],"study_design_scores_gemma":[0.0008587586,0.0005144316,0.9016629,0.0003632459,0.00004610652,0.00001657333,0.001543688,0.0858987,0.002559301,0.006264869,0.000003903231,0.0002675328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952933,0.0001031623,0.003901177,0.00003239173,0.0001151912,0.0003952574,0.00001363491,0.00002671895,0.0001191948],"genre_scores_gemma":[0.9997869,0.00002637333,0.00009312559,0.00001733488,0.00001466306,0.00001654015,0.00002550403,0.00000342149,0.00001617673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08244519,"threshold_uncertainty_score":0.2435249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406893706745441,"score_gpt":0.2458036919357405,"score_spread":0.2217347548682861,"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."}}