{"id":"W6930589342","doi":"10.5281/zenodo.15020980","title":"Euura oligospila","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Group (periodic table); Dorsum; Head (geology); Constriction; Base (topology)","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":[0.0001043823,0.0004547629,0.0001805136,0.0007883218,0.0007069298,0.0003984677,0.0003296017,0.0003053661,0.006927095],"category_scores_gemma":[0.0002410043,0.0001142842,0.0001765434,0.0004065861,0.000288249,0.0006237143,0.0006949715,0.0003855233,0.002031689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367237,"about_ca_system_score_gemma":0.0001881733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429503,"about_ca_topic_score_gemma":0.002875769,"domain_scores_codex":[0.9998584,0.0000252551,0.00001684492,0.00004896561,0.00002446732,0.0000261518],"domain_scores_gemma":[0.9999228,0.000009394455,0.00002445443,0.00001632629,0.00001721398,0.000009908366],"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":[0.0006299877,0.0001211273,0.04510402,0.001335023,0.00009079971,0.002355921,0.002094989,0.000834059,0.1103081,0.01185079,0.01012741,0.8151478],"study_design_scores_gemma":[0.00005132884,0.0007042268,0.3842672,0.0005634551,0.0001886028,0.006763406,0.001874585,0.001031094,0.01085773,0.001855538,0.5917782,0.00006466951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724339,0.01183233,0.009790264,0.0004145372,0.001007657,0.0004343198,0.002973776,0.0005127679,0.2006005],"genre_scores_gemma":[0.9456798,0.002261646,0.01021202,0.0006671993,0.000141548,0.000190037,0.003057045,0.0000463006,0.03774435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006927095,"threshold_uncertainty_score":0.02317345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899210695103422,"score_gpt":0.292419917553761,"score_spread":0.2634278106027267,"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."}}