{"id":"W4414542067","doi":"10.2196/72888","title":"Identifying Gaps and Challenges in Acute Hepatitis B Surveillance in the Country of Georgia: Comprehensive Surveillance System Evaluation","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acute hepatitis B; Notification system; Hepatitis B; Public health surveillance; Disease surveillance; Epidemiological surveillance; Reliability (semiconductor); Risk assessment","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":[0.1365733,0.0008347781,0.00122604,0.003116186,0.000850701,0.002275125,0.001328704,0.001096945,0.0005051037],"category_scores_gemma":[0.1191128,0.0004846208,0.002517821,0.003534425,0.0008127774,0.003204158,0.003667273,0.0007451941,0.00006336954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007036014,"about_ca_system_score_gemma":0.02274509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0389478,"about_ca_topic_score_gemma":0.06253169,"domain_scores_codex":[0.9410002,0.04421384,0.005707312,0.001745815,0.005223731,0.002109201],"domain_scores_gemma":[0.9200073,0.03804165,0.01209894,0.003454719,0.02182574,0.004571589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007152741,0.0007285782,0.8890554,0.002665164,0.00203392,0.0001447261,0.004747324,0.008514135,0.0002255314,0.001165761,0.004535957,0.08546824],"study_design_scores_gemma":[0.0002982566,0.004045893,0.9381232,0.003734801,0.001536022,0.0001451093,0.009035924,0.03520749,0.0004323967,0.001480472,0.005871803,0.00008878032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747261,0.003120096,0.006099514,0.005307809,0.0000847347,0.004481937,0.003448242,0.0001201091,0.002611555],"genre_scores_gemma":[0.9774182,0.0008474452,0.0165264,0.0007101052,0.00002917849,0.002035298,0.00234746,0.00001146062,0.00007450185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365733,"threshold_uncertainty_score":0.722277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252834837951858,"score_gpt":0.3498043339707245,"score_spread":0.2872759855912059,"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."}}