{"id":"W2965951758","doi":"10.3767/persoonia.2020.44.02","title":"Patterns of coevolution between ambrosia beetle mycangia and the <i>Ceratocystidaceae</i>, with five new fungal genera and seven new species","year":2019,"lang":"en","type":"article","venue":"Persoonia - Molecular Phylogeny and Evolution of Fungi","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Agriculture and Agri-Food Canada; Office of Biotechnology, Iowa State University; U.S. Forest Service; Indian Agricultural Research Institute; Agricultural Research Service; Universitetet i Bergen; FPInnovations; U.S. Department of Agriculture; Indian Council of Agricultural Research; Iowa State University","keywords":"Biology; Ambrosia beetle; Ambrosia; Botany; Phylogenetic tree; Phylogenetics; Genus; Zoology; Curculionidae","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624548,0.0001539761,0.0002385084,0.00004529981,0.000098664,0.00001425265,0.0001054941,0.00008054839,0.0001792267],"category_scores_gemma":[0.00000819474,0.0001151355,0.00004354889,0.0001291002,0.0002996813,0.00009815926,0.0001599936,0.00009657766,0.00001259863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005859671,"about_ca_system_score_gemma":0.00003168977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002724512,"about_ca_topic_score_gemma":0.0004088512,"domain_scores_codex":[0.9990826,0.00007425521,0.0001761576,0.0002802233,0.0001876754,0.0001991286],"domain_scores_gemma":[0.999534,0.000042926,0.0001274124,0.0001846044,0.00001234205,0.00009871423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005127489,0.00005003652,0.8134015,0.0001037657,0.0002415524,0.000006153526,0.003110261,0.001311248,0.1686747,0.008808852,0.001780519,0.001998641],"study_design_scores_gemma":[0.001784388,0.0003402205,0.9937236,0.00003149148,0.0001218481,0.00001843769,0.0003698004,0.000515521,0.001666641,0.0007298403,0.0005426002,0.000155562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939166,0.001854529,0.00286604,0.0001248458,0.00003672992,0.0005288944,0.00002502871,0.000009234437,0.0006380877],"genre_scores_gemma":[0.9971992,0.0001345153,0.0006582094,0.00009383381,0.00003209633,0.000008466349,0.000008273361,0.00001009448,0.001855285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1803222,"threshold_uncertainty_score":0.469509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003905370666326383,"score_gpt":0.1739145154183727,"score_spread":0.1700091447520464,"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."}}