{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002568428,0.001413978,0.0006704914,0.002302605,0.001930013,0.0008475532,0.001109623,0.00100582,0.01335019],"category_scores_gemma":[0.0008011494,0.0003754273,0.0003811607,0.001885333,0.0007541199,0.001313922,0.0009850191,0.001576497,0.007372585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152062,"about_ca_system_score_gemma":0.001404876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0942011,"about_ca_topic_score_gemma":0.1412495,"domain_scores_codex":[0.999736,0.00001583927,0.00002369516,0.00007502815,0.00009481318,0.00005448454],"domain_scores_gemma":[0.9997826,0.00001824561,0.00006143782,0.00002967541,0.0000776435,0.00003044956],"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":[0.0002850165,0.000214568,0.04914316,0.0009129932,0.0001970962,0.002589821,0.001233665,0.001311879,0.006699467,0.003999679,0.08756021,0.8458526],"study_design_scores_gemma":[0.0001391414,0.0001116527,0.3417526,0.001971251,0.0003362693,0.0131562,0.002033374,0.001523025,0.002170373,0.001989917,0.6347309,0.00008536944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1574375,0.04636671,0.01848362,0.003355015,0.003343699,0.003189113,0.02844999,0.002697942,0.7366763],"genre_scores_gemma":[0.7884899,0.03313607,0.03862026,0.004716165,0.0008878432,0.001585489,0.02160727,0.0004248607,0.1105321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0942011,"threshold_uncertainty_score":0.1873056,"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."}}