{"id":"W4366351311","doi":"10.1093/sysbio/syad020","title":"Species Delimitation, Phylogenomics, and Biogeography of Sulawesi Flying Lizards: A Diversification History Complicated by Ancient Hybridization, Cryptic Species, and Arrested Speciation","year":2023,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Center for Research Resources; Museum of Vertebrate Zoology; Lembaga Ilmu Pengetahuan Indonesia; National Science Foundation; National Institutes of Health; University of California","keywords":"Biology; Species complex; Phylogeography; Biogeography; Population; Endemism; Evolutionary biology; Phylogenetic tree; Ecology; Biological dispersal; Lineage (genetic); Zoology; Genetics","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":[0.0002594332,0.0001205461,0.0001379056,0.0009519237,0.0002952038,0.0003406206,0.0001317599,0.0001408491,0.0005131155],"category_scores_gemma":[0.0003053061,0.0001041305,0.0001576739,0.0007377533,0.000211768,0.0001719431,0.0002837021,0.0001606431,0.00008398979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003647764,"about_ca_system_score_gemma":0.0002816614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115318,"about_ca_topic_score_gemma":0.03033567,"domain_scores_codex":[0.9999237,0.00001579558,0.000007374981,0.00002838942,0.00001038947,0.00001438145],"domain_scores_gemma":[0.9998853,0.00001701854,0.00004662566,0.00001395528,0.00001984766,0.00001712322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007931132,0.00002825193,0.9434726,0.00004703263,0.00008466584,0.0001212462,0.001258769,0.0003241183,0.03415972,0.0003374385,0.00005176265,0.02003517],"study_design_scores_gemma":[0.00000114278,0.00001085691,0.9982458,0.000005903908,0.00001459564,0.00006451031,0.0003053859,0.0006113812,0.0004520766,0.00005567498,0.0002312317,0.000001527216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995021,0.0001066907,0.0001255328,0.00001672634,2.344427e-7,0.000002203128,0.00005215794,0.000001205886,0.0001932877],"genre_scores_gemma":[0.9992222,0.00008537715,0.0003943799,0.00001104808,5.961439e-7,0.000003491457,0.0001663173,0.000001119523,0.0001155738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115318,"threshold_uncertainty_score":0.0221765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577516337966275,"score_gpt":0.2044684790986969,"score_spread":0.1786933157190341,"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."}}