{"id":"W6949506790","doi":"10.5281/zenodo.15357605","title":"Dolichogenidea kenzabaddouae Fernandez-Triana & Boudreault 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Parks Canada","funders":"","keywords":"DNA barcoding; Ovipositor; Sternum; Vein","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":[0.0001920412,0.001189096,0.0005240226,0.001870836,0.001698825,0.0007072362,0.0008021581,0.0007755532,0.01209528],"category_scores_gemma":[0.0005852024,0.0002855912,0.0002542785,0.001636862,0.0006983169,0.00100107,0.0008323903,0.001242485,0.006865039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626,"about_ca_system_score_gemma":0.001449216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07934514,"about_ca_topic_score_gemma":0.1655315,"domain_scores_codex":[0.9998353,0.00001122824,0.00001421398,0.00004582571,0.00005596075,0.00003742237],"domain_scores_gemma":[0.9998354,0.00001256885,0.00004548518,0.000021398,0.00005903006,0.00002615267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000397827,0.000184178,0.04630845,0.001158223,0.0001436354,0.003332215,0.001419799,0.001252812,0.009274377,0.00457344,0.08475095,0.8472041],"study_design_scores_gemma":[0.0001510477,0.00008965941,0.2467205,0.001598979,0.0002049965,0.01016669,0.002053642,0.0009758595,0.001444382,0.001603724,0.7349331,0.00005738875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2074708,0.05433581,0.01418336,0.003511103,0.003467442,0.002574449,0.02808577,0.002260471,0.6841108],"genre_scores_gemma":[0.7807194,0.03328418,0.02984553,0.004031603,0.0006201846,0.001247209,0.01953414,0.000357971,0.1303597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07934514,"threshold_uncertainty_score":0.1577666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189082986249092,"score_gpt":0.2539233773428366,"score_spread":0.2320325474803457,"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."}}