{"id":"W6911797112","doi":"10.5281/zenodo.15021231","title":"Euura pyri Newman 1869","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Context (archaeology); Key (lock); Period (music)","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":[0.0001005391,0.0003951365,0.0002600419,0.0007820558,0.001134172,0.0004463605,0.0003039553,0.0005032303,0.01728546],"category_scores_gemma":[0.0003968208,0.0002003721,0.00007714964,0.0004793014,0.0006026318,0.001132375,0.0009812892,0.0003811989,0.005496899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666298,"about_ca_system_score_gemma":0.0001878513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247364,"about_ca_topic_score_gemma":0.005043686,"domain_scores_codex":[0.9998431,0.00002767541,0.00001262884,0.00005307038,0.00004119721,0.00002222423],"domain_scores_gemma":[0.9998994,0.00001384467,0.00004406798,0.000009080153,0.00002214853,0.00001138185],"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":[0.0003604078,0.00009410362,0.03689053,0.0007988767,0.00005879461,0.003197996,0.001831033,0.001017331,0.02052964,0.01509007,0.04388686,0.8762444],"study_design_scores_gemma":[0.00003813023,0.0001736703,0.1665541,0.0003439782,0.00004556798,0.01000846,0.0008443989,0.0004408586,0.001938388,0.001790637,0.817794,0.00002788604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2789802,0.0147954,0.007125506,0.0007534177,0.0008590956,0.0002639631,0.001733678,0.0004194007,0.6950694],"genre_scores_gemma":[0.9241633,0.005381838,0.003751922,0.0004983121,0.0002442038,0.00008828624,0.001452817,0.00005673473,0.06436267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01728546,"threshold_uncertainty_score":0.05782562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063540125658437,"score_gpt":0.2203838776598626,"score_spread":0.1897484764032782,"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."}}