{"id":"W6968528468","doi":"10.5281/zenodo.15388940","title":"Culicoides (Sinocoides) Chu","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Powdery Mildew Fungal 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; 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":[0.00006694149,0.0002653383,0.0001063466,0.00055628,0.0003871115,0.0001530708,0.00009973573,0.00008990153,0.001767238],"category_scores_gemma":[0.00005570652,0.00004819742,0.00009122202,0.0003226973,0.0001348124,0.0001215339,0.0002280559,0.0001646665,0.0004674187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896625,"about_ca_system_score_gemma":0.0003479268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215665,"about_ca_topic_score_gemma":0.03166424,"domain_scores_codex":[0.9999573,0.00000449996,0.000003016966,0.00001480289,0.000008841947,0.00001158158],"domain_scores_gemma":[0.9999552,0.000005223409,0.00001263449,0.000004966475,0.00001009839,0.00001186959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005156499,0.000126231,0.1192136,0.0003419786,0.0001004835,0.001974452,0.0006754131,0.0005319839,0.7634456,0.002140959,0.003337859,0.1075958],"study_design_scores_gemma":[0.00004092517,0.0001957177,0.9043111,0.00006895668,0.00008408719,0.002610211,0.000736455,0.001111107,0.03950016,0.0004601229,0.05086626,0.00001480509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732205,0.00193674,0.0009734231,0.000111592,0.0000354842,0.00005276381,0.001401221,0.00008724831,0.02218105],"genre_scores_gemma":[0.9861463,0.0008819652,0.0009844195,0.0001062645,0.00001141706,0.00003738336,0.002876372,0.000006753284,0.008949101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215665,"threshold_uncertainty_score":0.02417177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631736072915053,"score_gpt":0.2292873073843859,"score_spread":0.2029699466552353,"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."}}