{"id":"W6931059823","doi":"10.5281/zenodo.15388937","title":"Culicoides (Sensiculicoides) Shevchenko","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Blood properties and coagulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Subgenus; Taxonomy (biology); Outbreak; Epizootic; 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":[0.0001713657,0.0008023397,0.0003277911,0.001207622,0.0004305801,0.0006164226,0.0003247326,0.0004017138,0.005796275],"category_scores_gemma":[0.0001751532,0.0001396238,0.0001943043,0.0004561891,0.0004154627,0.0004231734,0.0006054493,0.0004301259,0.002654681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117857,"about_ca_system_score_gemma":0.0002491653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004892927,"about_ca_topic_score_gemma":0.006705737,"domain_scores_codex":[0.9998056,0.00002555635,0.00001305627,0.00008049652,0.00002875863,0.00004647124],"domain_scores_gemma":[0.9999111,0.00001374241,0.00002832019,0.00001573485,0.00001429524,0.00001674452],"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":[0.001825686,0.0002470472,0.0513116,0.00162185,0.0003058813,0.003862903,0.00151627,0.001223179,0.474556,0.010556,0.02457745,0.4283961],"study_design_scores_gemma":[0.00009327427,0.0007274572,0.4288684,0.0006108131,0.0003464317,0.0152578,0.001458973,0.001016223,0.1552142,0.00410582,0.3922299,0.00007074829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6957829,0.1084872,0.00909729,0.002193366,0.001116988,0.0002778131,0.0103026,0.0007022089,0.1720395],"genre_scores_gemma":[0.9197654,0.01958533,0.003445656,0.0005529618,0.0001574744,0.0000598122,0.004888194,0.00003495083,0.05151029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005796275,"threshold_uncertainty_score":0.01939052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017828471216667,"score_gpt":0.2576606178700711,"score_spread":0.2274823331579044,"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."}}