{"id":"W6949485347","doi":"10.5281/zenodo.14612544","title":"Culicoides wirthomyia Vargas 1953","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Culicoides; Ceratopogonidae; Paratype; Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008131637,0.000404612,0.000135369,0.0008343625,0.0004015511,0.0001942596,0.000199356,0.0001659337,0.004762309],"category_scores_gemma":[0.000205711,0.000109136,0.00009893993,0.0005727611,0.0002057204,0.000238604,0.000303093,0.0002314175,0.001483669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701375,"about_ca_system_score_gemma":0.0001262104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01774153,"about_ca_topic_score_gemma":0.02491233,"domain_scores_codex":[0.9999282,0.000004227875,0.000005017341,0.00002385452,0.00002120851,0.00001748017],"domain_scores_gemma":[0.9999284,0.000008575245,0.00003273175,0.000008857887,0.000008294151,0.00001313168],"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":[0.001097559,0.0002219289,0.3157759,0.001174578,0.0002812192,0.005040017,0.001599584,0.001414786,0.2140671,0.012467,0.05657881,0.3902815],"study_design_scores_gemma":[0.0000456885,0.0001814854,0.8779722,0.0002128399,0.00007806462,0.004787516,0.0005235297,0.0002935692,0.009505739,0.001223829,0.1051509,0.00002473573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524135,0.01194119,0.002353892,0.0002693388,0.0003202786,0.0002438349,0.0141011,0.0005534649,0.2178034],"genre_scores_gemma":[0.9767571,0.003773247,0.001202983,0.0001534916,0.00003991901,0.00007300859,0.005082713,0.00001960883,0.01289792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774153,"threshold_uncertainty_score":0.03527653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780304963314938,"score_gpt":0.2319344313341681,"score_spread":0.2041313817010187,"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."}}