{"id":"W4390946608","doi":"10.3897/zookeys.1189.114478","title":"DNA Barcoding of Central European Gasteruptiidae and the rarely-collected families Evaniidae, Stephanidae, Trigonalidae, and Aulacidae (Hymenoptera, Apocrita)","year":2024,"lang":"en","type":"article","venue":"ZooKeys","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Bayerisches Staatsministerium für Wissenschaft und Kunst; Genome Canada; Univerzita Hradec Králové; Ontario Genomics; Bundesministerium für Bildung und Forschung; Ontario Genomics Institute","keywords":"DNA barcoding; Hymenoptera; Zoology; Biology; Barcode; Taxonomy (biology); Evolutionary biology; Ecology","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":[0.0002861835,0.0001952474,0.0001181088,0.001979265,0.0002095989,0.0002475192,0.000132721,0.0001858681,0.001043268],"category_scores_gemma":[0.0005810739,0.00008235772,0.0001011909,0.001108248,0.000270645,0.0002337876,0.0002947702,0.000098763,0.0002006197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109259,"about_ca_system_score_gemma":0.0002753941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417281,"about_ca_topic_score_gemma":0.01234064,"domain_scores_codex":[0.9997327,0.00003517728,0.00002630584,0.00009326702,0.00006856182,0.00004402896],"domain_scores_gemma":[0.9996148,0.00008561237,0.0001740694,0.00003030188,0.00006036079,0.00003470863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003140498,0.00004944371,0.6429511,0.0002783267,0.0002206483,0.0007538543,0.002757366,0.0009233095,0.1790324,0.001048911,0.001563236,0.1701073],"study_design_scores_gemma":[0.000002676136,0.00005190481,0.9830913,0.00003953152,0.00003767134,0.000612631,0.0004902793,0.0006110229,0.009472838,0.00009284208,0.005490115,0.000007209146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959348,0.0005429563,0.001181433,0.00002307827,0.000007889871,0.000009946565,0.001194314,0.0000147569,0.001090715],"genre_scores_gemma":[0.9935825,0.0002290567,0.002875018,0.00002226667,0.000004297721,0.00001422152,0.002352164,0.000003960417,0.0009165473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004417281,"threshold_uncertainty_score":0.008783102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221497631612056,"score_gpt":0.1991957876596088,"score_spread":0.1770460244984032,"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."}}