{"id":"W6911946623","doi":"10.5281/zenodo.15388936","title":"Culicoides (Jilinocoides) Chu 1809","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":"Royal British Columbia Museum","funders":"","keywords":"Subgenus; Taxonomy (biology); Taxon; Culicoides; China","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":[0.00009235074,0.0003791878,0.0001493178,0.0008954351,0.0007908055,0.0001871671,0.0001754308,0.0001832538,0.002105917],"category_scores_gemma":[0.0001144684,0.00009121558,0.00008470662,0.0006172245,0.0002360602,0.000233523,0.0002434781,0.0001874734,0.0004498612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358904,"about_ca_system_score_gemma":0.0005042155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03274612,"about_ca_topic_score_gemma":0.07386749,"domain_scores_codex":[0.9999357,0.000005494262,0.000007634825,0.00002175639,0.00001271988,0.00001662115],"domain_scores_gemma":[0.999931,0.000008014095,0.0000226517,0.000004901488,0.00001801885,0.00001549659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005683114,0.000181032,0.4982684,0.0006951062,0.0001225984,0.003558119,0.004015192,0.0006848933,0.2532555,0.002058517,0.007722492,0.2288698],"study_design_scores_gemma":[0.00002032708,0.0000968503,0.9612669,0.00007286421,0.00004162279,0.001647866,0.00083217,0.0003806393,0.003169814,0.0001624809,0.03229768,0.00001085727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95802,0.003898591,0.0011915,0.0002132973,0.0001200663,0.0001777259,0.002465896,0.00009629056,0.0338166],"genre_scores_gemma":[0.9891011,0.001282947,0.001284275,0.0001365013,0.00002483309,0.00006028398,0.00251583,0.000005488309,0.005588722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274612,"threshold_uncertainty_score":0.06511098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976292695038239,"score_gpt":0.236521951363904,"score_spread":0.2067590244135216,"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."}}