{"id":"W6930657550","doi":"10.5281/zenodo.15388939","title":"Culicoides (Sinocoides) Chu","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Subgenus; Taxonomy (biology); Taxon; 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":[0.00008978869,0.0003131769,0.0001330178,0.0006815399,0.000463231,0.0001853369,0.0001181696,0.0001112062,0.00215409],"category_scores_gemma":[0.00008403521,0.00006320659,0.00009596826,0.0004662868,0.0002314038,0.0001870012,0.0003043471,0.0002128963,0.0005659231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494362,"about_ca_system_score_gemma":0.0004430208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893914,"about_ca_topic_score_gemma":0.05193344,"domain_scores_codex":[0.9999446,0.000006269328,0.000003060366,0.00002013207,0.00001196589,0.00001400798],"domain_scores_gemma":[0.9999416,0.000008466543,0.00001485845,0.000005891369,0.00001577593,0.00001343757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006575128,0.0001135653,0.1460489,0.0005576143,0.0001290278,0.002277846,0.001223987,0.0006535618,0.6297336,0.004018525,0.00839907,0.2061867],"study_design_scores_gemma":[0.00003801355,0.000186979,0.8353598,0.000119754,0.000115808,0.003686905,0.00126176,0.001458198,0.05673745,0.0007981178,0.1002131,0.00002424411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9485048,0.005526754,0.002421494,0.0003134984,0.0001030702,0.00009494033,0.002312573,0.0001615034,0.04056136],"genre_scores_gemma":[0.9783984,0.002422533,0.002411254,0.000190672,0.00002365295,0.00005877355,0.003312811,0.00001228052,0.01316961],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01893914,"threshold_uncertainty_score":0.0376578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335615436592623,"score_gpt":0.2694334305984378,"score_spread":0.2260772762325116,"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."}}