{"id":"W6968436839","doi":"10.5281/zenodo.14618658","title":"Culicoides propinquus Macfie 1948","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; Table (database); 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":[0.0000983147,0.0004760421,0.0001726239,0.001381285,0.0008502428,0.0002496992,0.0003904791,0.0002441474,0.0143533],"category_scores_gemma":[0.0002889161,0.0001515425,0.00008959651,0.0005598249,0.0002496035,0.000285515,0.0002956235,0.0002882064,0.003239182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548045,"about_ca_system_score_gemma":0.0001731313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03363313,"about_ca_topic_score_gemma":0.05040219,"domain_scores_codex":[0.9999148,0.000005234193,0.000004889363,0.00002862356,0.00002580144,0.00002072074],"domain_scores_gemma":[0.9998332,0.00002308202,0.0000658254,0.00001294205,0.00004572002,0.00001919152],"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":[0.0005458066,0.0001248358,0.1759659,0.0007911097,0.0001120584,0.003853861,0.001192641,0.000431154,0.02689612,0.004943561,0.1651422,0.6200007],"study_design_scores_gemma":[0.00004223391,0.0002043315,0.7424715,0.0003234272,0.00006273486,0.003546752,0.000445673,0.0002327189,0.003156512,0.0004635108,0.2490352,0.00001540149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4972315,0.02440407,0.00205822,0.0009475195,0.0008455953,0.0005764985,0.01345721,0.000812102,0.4596673],"genre_scores_gemma":[0.9459473,0.004533989,0.002894826,0.0004522236,0.0001941158,0.0001521483,0.005015771,0.00003042275,0.04077923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03363313,"threshold_uncertainty_score":0.06687468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306005226062167,"score_gpt":0.2384013757820689,"score_spread":0.2053413235214473,"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."}}