{"id":"W6949688685","doi":"10.5281/zenodo.15357543","title":"Dolichogenidea felipechavarriai Fernandez-Triana & Boudreault 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","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; Voucher; Barcode; Type (biology); Margin (machine learning); Race (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004398862,0.000147398,0.0001465126,0.0001342019,0.0009780856,0.0002617875,0.0008064626,0.0001719122,0.001577895],"category_scores_gemma":[0.0009897911,0.0001439527,0.00007782506,0.0003741113,0.0002112441,0.000006495435,0.0009383496,0.0001925525,0.001183745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004242571,"about_ca_system_score_gemma":0.0000115155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002338365,"about_ca_topic_score_gemma":0.000001490975,"domain_scores_codex":[0.9985985,0.000175523,0.0002270389,0.0004538429,0.0001954828,0.0003496813],"domain_scores_gemma":[0.9990189,0.00001208029,0.00006602885,0.0004849799,0.0002868563,0.0001311559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001702327,0.000123635,0.00003341245,0.00004727709,0.0001220453,0.00001059415,0.0001243813,0.0000102323,0.1088949,0.002043603,0.6385621,0.2498576],"study_design_scores_gemma":[0.0006554316,0.0001703695,0.0007450594,0.00002536858,0.0000168817,0.0000306976,0.0001336223,0.00003796694,0.009938351,0.0001869248,0.9879071,0.0001522453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3816787,0.004430584,0.05396596,0.01025593,0.001465578,0.001432779,0.0006760453,0.001855181,0.5442393],"genre_scores_gemma":[0.9808301,0.0004806024,0.0009504693,0.001047481,0.0004767277,1.643975e-7,0.002142059,0.0006495804,0.01342283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5991514,"threshold_uncertainty_score":0.999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678463678136255,"score_gpt":0.2784801310007726,"score_spread":0.2516954942194101,"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."}}