{"id":"W6930723428","doi":"10.5281/zenodo.15357501","title":"Dolichogenidea carlosalvaradoi Fernandez-Triana & Boudreault 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Parks Canada","funders":"","keywords":"Ovipositor; Bin; DNA barcoding; Margin (machine learning)","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":[0.0002400034,0.001190418,0.0005235022,0.001867991,0.001600664,0.0007032754,0.0008594156,0.0007965686,0.01065803],"category_scores_gemma":[0.0006364495,0.0002955908,0.0003002904,0.001778235,0.0006171974,0.0008591658,0.0008579044,0.001326726,0.005392971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194945,"about_ca_system_score_gemma":0.002263294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1052931,"about_ca_topic_score_gemma":0.1810944,"domain_scores_codex":[0.9997858,0.00001147195,0.00001569927,0.00005618225,0.0000832224,0.000047561],"domain_scores_gemma":[0.9998381,0.00001039813,0.00004225335,0.00001874824,0.00006230116,0.00002809435],"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":[0.0003991306,0.0002514492,0.05055925,0.001137969,0.0001758493,0.003078889,0.001539732,0.001561203,0.01203136,0.007022307,0.1011712,0.8210717],"study_design_scores_gemma":[0.0001773108,0.0001185626,0.2552248,0.001362186,0.000291197,0.008181049,0.001929744,0.001212748,0.001911238,0.001643608,0.7278823,0.00006523237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.185849,0.03387098,0.01580383,0.002747613,0.00293378,0.003000746,0.02856298,0.001681448,0.7255496],"genre_scores_gemma":[0.7823838,0.02630591,0.03171357,0.003977877,0.0006267097,0.001393114,0.02745332,0.0003568518,0.1257889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1052931,"threshold_uncertainty_score":0.2093605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872594079285103,"score_gpt":0.2585003203069874,"score_spread":0.2397743795141364,"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."}}