{"id":"W4408899737","doi":"10.1016/j.cub.2025.03.002","title":"The radiation of Hymenoptera illuminated by Bayesian inferences from the fossil record","year":2025,"lang":"en","type":"article","venue":"Current Biology","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Muséum National d'Histoire Naturelle; Agencia Estatal de Investigación; University of Alberta; Ministerio de Ciencia, Innovación y Universidades","keywords":"Biology; Hymenoptera; Fossil Record; Bayesian probability; Bayesian inference; Ecology; Zoology; Evolutionary biology; Paleontology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005505605,0.001195371,0.0007905614,0.00430134,0.001616937,0.004313318,0.001353011,0.001411852,0.0037237],"category_scores_gemma":[0.02658428,0.001188594,0.0008479911,0.003412049,0.001980237,0.004093484,0.001987098,0.001688082,0.0009859918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143865,"about_ca_system_score_gemma":0.0006817621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00566871,"about_ca_topic_score_gemma":0.008298435,"domain_scores_codex":[0.9981028,0.0008345343,0.0001303585,0.0005878754,0.0002577092,0.00008669293],"domain_scores_gemma":[0.9923775,0.005047363,0.001332706,0.0006324683,0.0004373013,0.0001726546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006614986,0.00008747179,0.5432984,0.002309395,0.002210875,0.0007578573,0.00310488,0.09899555,0.009409344,0.01863281,0.00318066,0.3173512],"study_design_scores_gemma":[0.0001237163,0.000217307,0.4933868,0.001486459,0.001611575,0.001995012,0.001759701,0.3146778,0.003135626,0.1617099,0.01957457,0.0003215378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179648,0.04070044,0.2224807,0.001710081,0.0001505259,0.0001324221,0.004134126,0.0006862935,0.0120405],"genre_scores_gemma":[0.9670563,0.006316709,0.02381879,0.0002893165,0.0002030844,0.00005280602,0.001807311,0.00007772352,0.0003779626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00566871,"threshold_uncertainty_score":0.02911675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480708362208986,"score_gpt":0.2640636209566887,"score_spread":0.2492565373345989,"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."}}