{"id":"W6968280753","doi":"10.5281/zenodo.15020847","title":"Euura taegeri","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Annulus (botany); Claw; Paratype; Type (biology)","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":[0.00009783456,0.000476231,0.0002052952,0.001134947,0.001358186,0.0006177686,0.0005550634,0.0004064824,0.04089257],"category_scores_gemma":[0.0001940482,0.0001364704,0.0001813493,0.0009153499,0.0004254581,0.0008038798,0.0007050278,0.0004111849,0.007973437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045025,"about_ca_system_score_gemma":0.0005367683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03985672,"about_ca_topic_score_gemma":0.1065325,"domain_scores_codex":[0.9998939,0.000009918641,0.00000853437,0.00004432142,0.00002304854,0.00002029502],"domain_scores_gemma":[0.9999479,0.000004303287,0.0000138955,0.000007758671,0.00001982096,0.000006287707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001986279,0.00007474263,0.02388401,0.0006154182,0.00007714655,0.000972965,0.001741876,0.000245722,0.00962426,0.00949199,0.03979114,0.9132822],"study_design_scores_gemma":[0.00002744535,0.00007933005,0.145456,0.0002756142,0.0001140089,0.002971496,0.001147067,0.0002185541,0.0008335817,0.001112431,0.8477483,0.00001632186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1235572,0.01281249,0.00259516,0.0006122083,0.0004441383,0.0002585289,0.003743752,0.0004381435,0.8555384],"genre_scores_gemma":[0.7285818,0.008288877,0.009988244,0.001114001,0.0001701438,0.0002629359,0.007240037,0.00012567,0.2442283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04089257,"threshold_uncertainty_score":0.1367993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967795308811012,"score_gpt":0.2287175088773192,"score_spread":0.1890395557892091,"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."}}