{"id":"W3005429949","doi":"10.2196/11512","title":"Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development","year":2020,"lang":"en","type":"review","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scopus; Disease surveillance; Cluster analysis; Systematic review; Data mining; Data science; MEDLINE; Medicine; Disease; Machine learning; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0468165,0.002742548,0.009073231,0.0417534,0.001750913,0.006059164,0.004456247,0.002581654,0.00457891],"category_scores_gemma":[0.1577116,0.001675319,0.01349294,0.02770279,0.002260756,0.006591199,0.004350364,0.00216761,0.0004351464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01548301,"about_ca_system_score_gemma":0.04814647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010634,"about_ca_topic_score_gemma":0.03624752,"domain_scores_codex":[0.9657326,0.0152487,0.01106821,0.002426628,0.004848386,0.000675658],"domain_scores_gemma":[0.8710876,0.1010025,0.01278359,0.002093161,0.01229365,0.0007396335],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001153616,0.00002639308,0.001250435,0.8826309,0.005974696,0.0000782139,0.000809373,0.0008616462,0.0000901159,0.005129171,0.002929315,0.1001044],"study_design_scores_gemma":[0.0001261721,0.0001778255,0.002356623,0.9286568,0.02968704,0.0002089786,0.000906099,0.0009866445,0.0002453369,0.003652805,0.03290575,0.00009003811],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008625476,0.9903736,0.003647032,0.001161267,0.0002036073,0.002223326,0.0007823046,0.00004365931,0.0007026852],"genre_scores_gemma":[0.02154619,0.9473192,0.02281045,0.000849268,0.0001542009,0.006354109,0.0007513385,0.0000208835,0.0001943822],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9531835,"threshold_uncertainty_score":0.2475923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458739249753697,"score_gpt":0.3477040022694526,"score_spread":0.301830077294083,"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."}}