{"id":"W6968241261","doi":"10.5281/zenodo.15020820","title":"Euura leptostigma ZMUO.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Homonym (biology); Dorsum; Margin (machine learning); Basal (medicine)","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":[0.00007985761,0.000761816,0.0003363958,0.00171028,0.00154022,0.0008153921,0.0005464296,0.0006747356,0.06228326],"category_scores_gemma":[0.0002786142,0.0002991419,0.0003814641,0.0006677954,0.0004160195,0.001355488,0.001231881,0.0006697314,0.02415785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006312922,"about_ca_system_score_gemma":0.0003099878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922218,"about_ca_topic_score_gemma":0.00676844,"domain_scores_codex":[0.9998727,0.00001629306,0.00001347075,0.00003679357,0.00003899704,0.00002180279],"domain_scores_gemma":[0.9999243,0.00001132442,0.00002411723,0.00001109165,0.00001814624,0.00001112532],"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":[0.0002027319,0.00006538057,0.005324743,0.0007768545,0.00004217673,0.00146936,0.0009597667,0.0002441904,0.01161966,0.01163708,0.06738731,0.9002708],"study_design_scores_gemma":[0.00001656998,0.00004294096,0.02061179,0.0003601809,0.00003952923,0.002628027,0.0004162985,0.0001422379,0.001045562,0.001445528,0.973238,0.00001325597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0364007,0.02336687,0.005315535,0.001255197,0.001776305,0.00038624,0.005542228,0.001115912,0.924841],"genre_scores_gemma":[0.449459,0.01557711,0.01129279,0.00279678,0.0008997067,0.0003756515,0.01020397,0.0004492219,0.5089458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06228326,"threshold_uncertainty_score":0.2083582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792025293765624,"score_gpt":0.2198918253624406,"score_spread":0.1919715724247844,"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."}}