{"id":"W2911606816","doi":"10.2196/12032","title":"Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks","year":2019,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Advanced Research Projects Agency; Science and Technology Directorate; Defense Threat Reduction Agency; U.S. Department of Homeland Security","keywords":"Outbreak; Infectious disease (medical specialty); Data science; Computer science; Disease; Disease surveillance; Population; Analytics; Data mining; Geography; Medicine; Environmental health; Pathology","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":[0.003860416,0.001383395,0.0006003753,0.005210495,0.0005333775,0.004131403,0.00143027,0.0008538146,0.006835204],"category_scores_gemma":[0.01518883,0.0004771188,0.001127103,0.00253164,0.0006541609,0.003548917,0.002863365,0.001304804,0.001988946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098936,"about_ca_system_score_gemma":0.001080031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652459,"about_ca_topic_score_gemma":0.002902175,"domain_scores_codex":[0.9986461,0.0004911337,0.0001385515,0.0002498338,0.0004028452,0.00007155565],"domain_scores_gemma":[0.9860881,0.00993074,0.000923099,0.001354884,0.001224293,0.0004788568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001659391,0.001083728,0.03596113,0.003164124,0.0004410273,0.001952915,0.01120155,0.05546645,0.03141304,0.03426469,0.07608353,0.7473084],"study_design_scores_gemma":[0.0003534381,0.0004796121,0.02623401,0.00138846,0.0002461706,0.001341245,0.003376139,0.6530901,0.03498359,0.09632609,0.1818339,0.0003473205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0439277,0.0004936209,0.8520693,0.001423174,0.0001131884,0.001111471,0.009878111,0.07955938,0.01142409],"genre_scores_gemma":[0.1785965,0.0003841074,0.8091595,0.0003164372,0.00006827374,0.0006576603,0.007120874,0.001795486,0.001901096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006835204,"threshold_uncertainty_score":0.02286601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04567055696194894,"score_gpt":0.3293090747341242,"score_spread":0.2836385177721753,"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."}}