{"id":"W6893120407","doi":"10.5281/zenodo.15021073","title":"Euura longiserra","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":"Holotype; Sternum; Taxonomy (biology); 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":[0.0001096456,0.0006500804,0.0003280872,0.001281719,0.00112372,0.0005544506,0.0004273146,0.0006453782,0.02845748],"category_scores_gemma":[0.0003302289,0.0001804415,0.0001838685,0.0006752181,0.0005079124,0.0009993103,0.0008930766,0.0004816681,0.009395465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934405,"about_ca_system_score_gemma":0.0001923041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150698,"about_ca_topic_score_gemma":0.004108015,"domain_scores_codex":[0.9997843,0.00003756739,0.00002354396,0.00007114631,0.00005147321,0.00003191342],"domain_scores_gemma":[0.9998581,0.00002520528,0.00005319684,0.00001778421,0.00003165551,0.00001396956],"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":[0.0003117358,0.00008421334,0.01506196,0.0007802371,0.00005533269,0.002157351,0.001338031,0.0003390265,0.02575069,0.005660898,0.01976771,0.9286928],"study_design_scores_gemma":[0.0000642443,0.0003274314,0.1755569,0.0009064088,0.0001361056,0.01854448,0.001865114,0.0003896514,0.003745605,0.0025302,0.795872,0.0000618565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2281314,0.03542374,0.006078727,0.0008341289,0.0007921651,0.0002717227,0.002790926,0.000598214,0.7250789],"genre_scores_gemma":[0.9052971,0.007708035,0.005349149,0.0006682588,0.0003594275,0.0001567651,0.002514113,0.00006108604,0.07788601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02845748,"threshold_uncertainty_score":0.0951997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994686521888497,"score_gpt":0.2230760622348374,"score_spread":0.1931291970159524,"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."}}