{"id":"W3004856830","doi":"10.1016/j.ympev.2020.106750","title":"The evolutionary history of the cellophane bee genus Colletes Latreille (Hymenoptera: Colletidae): Molecular phylogeny, biogeography and implications for a global infrageneric classification","year":2020,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Museum of Nature; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Museum of Nature; Ontario Ministry of Natural Resources and Forestry; Texas Parks and Wildlife Department","keywords":"Biology; Monophyly; Zoology; Polyphyly; Biogeography; Phylogenetic tree; Phylogenetics; Clade; Genus; Evolutionary biology; Ecology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007021911,0.0001332099,0.0001314219,0.000007149791,0.0003982557,0.00002066929,0.0001680826,0.00007148769,0.000001484984],"category_scores_gemma":[0.00003490529,0.00005813676,0.0001015831,0.0002843847,0.0002627087,0.00001356118,0.0001201724,0.00004338712,4.280287e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005767364,"about_ca_system_score_gemma":0.00002488744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003803706,"about_ca_topic_score_gemma":0.00007274256,"domain_scores_codex":[0.9991827,0.00005998278,0.0001938542,0.0002586019,0.0001156148,0.0001892464],"domain_scores_gemma":[0.9995866,0.00006009003,0.0001289468,0.00004367235,0.0001106053,0.00007003007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000033166,0.00002651896,0.03360757,0.00001221058,0.00004151335,3.210867e-7,0.00002664385,0.00001777162,0.9559404,0.004684059,0.001158607,0.004451187],"study_design_scores_gemma":[0.0001884463,0.0002673935,0.9593603,0.000006597116,0.00006354623,0.000004688062,0.00008007246,0.0008458501,0.002050414,0.002364417,0.0346221,0.0001461612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597236,0.03509791,0.0002188885,0.003937567,0.00004478635,0.0004449382,0.000269972,0.00001428816,0.00024805],"genre_scores_gemma":[0.9983922,0.0009722051,0.0002020318,0.0002701148,0.00004959525,0.0000691251,0.00002186807,0.000001635654,0.00002124837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.95389,"threshold_uncertainty_score":0.3063101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003266929767419,"score_gpt":0.1886989271905696,"score_spread":0.1686662578928954,"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."}}