{"id":"W4367032077","doi":"10.2743/jve.26.11","title":"Supplements of 59&lt;sup&gt;th&lt;/sup&gt; Congress of Veterinary Epidemiology","year":2022,"lang":"de","type":"article","venue":"Journal of Veterinary Epidemiology","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Veterinary medicine; Animal science; Medicine; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01052571,0.0009220882,0.004617388,0.0003449596,0.0005343864,0.00001396055,0.002518509,0.0006050358,0.007967919],"category_scores_gemma":[0.007420559,0.0005377305,0.001927024,0.0008198299,0.001475664,0.000416881,0.002251724,0.001346272,0.00005913389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314743,"about_ca_system_score_gemma":0.0002510409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098333,"about_ca_topic_score_gemma":0.00001566343,"domain_scores_codex":[0.9763963,0.01379442,0.00620049,0.001098644,0.0007051625,0.001805031],"domain_scores_gemma":[0.9804627,0.01038463,0.007169411,0.0005309462,0.0006582685,0.0007940228],"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":[0.01683302,0.004939682,0.3121437,0.001079125,0.003436875,0.003574554,0.0006499824,0.004208283,0.4364571,0.003758772,0.2001699,0.01274904],"study_design_scores_gemma":[0.002131006,0.08303826,0.5026387,0.0003723391,0.0007174732,0.003791608,0.0008189203,0.0009718473,0.0001774659,0.00321109,0.4011627,0.0009685309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493601,0.03895132,0.00002485741,0.005074577,0.003720216,0.0005579701,0.002146489,0.00002953444,0.0001348934],"genre_scores_gemma":[0.9855685,0.008742494,0.001216247,0.002045979,0.001850516,0.00005084783,0.0002648615,0.00002406355,0.000236479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4362797,"threshold_uncertainty_score":0.9997074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364522731741751,"score_gpt":0.3563389431931609,"score_spread":0.2198866700189858,"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."}}