{"id":"W1485766862","doi":"10.1007/978-3-540-72608-1","title":"Intelligence and security informatics : biosurveillance : Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007 : proceedings","year":2007,"lang":"en","type":"book","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disease surveillance; Public health surveillance; Computer science; Geospatial analysis; Population; Informatics; Preparedness; Spatial epidemiology; Communicable disease; Data science; Data mining; Epidemiology; Medicine; Public health; Geography; Cartography; Environmental health; Pathology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558199,0.001512194,0.0009712143,0.001887491,0.0008896493,0.004977887,0.001524115,0.001544407,0.03912455],"category_scores_gemma":[0.001781266,0.0005977728,0.0004887028,0.003359429,0.0007777243,0.003971478,0.001346888,0.002160236,0.02266552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880986,"about_ca_system_score_gemma":0.003637711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794137,"about_ca_topic_score_gemma":0.04068938,"domain_scores_codex":[0.9995916,0.00004705526,0.00001794223,0.00006016473,0.0002505126,0.00003272155],"domain_scores_gemma":[0.9990915,0.0002213366,0.00002360689,0.00007111343,0.0004429306,0.0001495817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001385272,0.00002756878,0.00009840497,0.0001400565,0.000007006756,0.0000235896,0.00006002573,0.0004109722,0.000698907,0.006189234,0.8336262,0.1587043],"study_design_scores_gemma":[0.000005815299,0.000009393167,0.0004322614,0.000174351,0.0000126113,0.000133549,0.00006315859,0.001327389,0.000678734,0.004602087,0.9925484,0.00001231384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004028987,0.21798,0.1551847,0.04579857,0.03018054,0.0005469238,0.005263622,0.007754168,0.5332626],"genre_scores_gemma":[0.006981615,0.08663297,0.0326208,0.002828761,0.002361723,0.0001308595,0.00487393,0.0009530381,0.8626162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03912455,"threshold_uncertainty_score":0.1308846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759744252485635,"score_gpt":0.2761810752659083,"score_spread":0.2585836327410519,"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."}}