{"id":"W6911932973","doi":"10.5281/zenodo.15021038","title":"Euura rufa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Taxon; Nomenclature; International Code of Zoological Nomenclature; Taxonomy (biology); Appendage","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":[0.0000823845,0.0006034629,0.0003273271,0.001500039,0.001428776,0.0004946584,0.0004771716,0.000489532,0.02571174],"category_scores_gemma":[0.0003711936,0.0001658606,0.0001875281,0.0007007138,0.0005632796,0.001169471,0.0009484334,0.0004709882,0.006374645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043671,"about_ca_system_score_gemma":0.0001783497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546893,"about_ca_topic_score_gemma":0.005540459,"domain_scores_codex":[0.9998686,0.00002357709,0.00001263026,0.00004200241,0.00002612804,0.0000270489],"domain_scores_gemma":[0.999945,0.00001140863,0.00001769561,0.000009422723,0.00001153047,0.000004940255],"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":[0.0001657021,0.00004523628,0.007753091,0.0006098477,0.00004267245,0.001431594,0.001324089,0.000421662,0.009397211,0.01639492,0.02538672,0.9370272],"study_design_scores_gemma":[0.00002234751,0.0001266635,0.08143631,0.0006136101,0.00008025971,0.005863217,0.001138039,0.0003251818,0.001715021,0.00283842,0.9058108,0.0000301399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1734638,0.03444852,0.005757547,0.0006808781,0.001057867,0.0002011579,0.002115771,0.0006342903,0.7816401],"genre_scores_gemma":[0.9119838,0.007369365,0.004860387,0.0006987558,0.0003201317,0.0001280522,0.002173445,0.00008947239,0.07237643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02571174,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902940091579745,"score_gpt":0.251097244829927,"score_spread":0.2220678439141296,"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."}}