{"id":"W4320807068","doi":"10.2196/43061","title":"Defining County-Level Terrestrial Rabies Freedom Using the US National Rabies Surveillance System: Surveillance Data Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Rabies; Wildlife; Public health; Environmental health; Geography; Post-exposure prophylaxis; Rabies virus; Veterinary medicine; Medicine; Virology; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008126265,0.0004437435,0.0004600311,0.003999999,0.0002857232,0.001273497,0.0008904515,0.0003398308,0.000812892],"category_scores_gemma":[0.01776522,0.0002701194,0.00127818,0.003747314,0.0002687433,0.0007308365,0.0007843299,0.0005897749,0.0001525906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513885,"about_ca_system_score_gemma":0.001852443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0343983,"about_ca_topic_score_gemma":0.02238083,"domain_scores_codex":[0.9958714,0.002138298,0.0006114207,0.0006926323,0.0004627236,0.0002234888],"domain_scores_gemma":[0.9889252,0.006627182,0.002381412,0.0005772379,0.001275863,0.0002131184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001126003,0.0001162615,0.9450952,0.0001600698,0.0005073525,0.00008552165,0.0002017461,0.03232998,0.0001771977,0.001582431,0.002025083,0.01760657],"study_design_scores_gemma":[0.00004842756,0.0003622188,0.4925578,0.0002130831,0.0003459752,0.0003884487,0.00103654,0.495396,0.0008960231,0.002160786,0.006531146,0.00006357794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163579,0.0007700733,0.06023019,0.0004476288,0.00002786882,0.0009340522,0.01858549,0.0002918301,0.002354932],"genre_scores_gemma":[0.950627,0.0002609082,0.03568659,0.000053834,0.00001422694,0.0003776957,0.01273375,0.00001973717,0.0002263265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0343983,"threshold_uncertainty_score":0.06839621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09313717364690538,"score_gpt":0.3387774254849618,"score_spread":0.2456402518380564,"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."}}