{"id":"W2492481418","doi":"10.1002/9780470131886.ch5","title":"Putting It Together: The Biosurveillance Information System","year":2006,"lang":"en","type":"other","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Disease surveillance; World Wide Web; Visualization; Data science; Data visualization; Web application; Disease; Data mining; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002577561,0.0005765977,0.0005842135,0.00195695,0.0009408349,0.006225512,0.0009640974,0.001043585,0.04676129],"category_scores_gemma":[0.004138519,0.0005121115,0.0004619966,0.002293725,0.0004871462,0.008254783,0.002468358,0.001974013,0.02309346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008734983,"about_ca_system_score_gemma":0.001712464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613483,"about_ca_topic_score_gemma":0.003376587,"domain_scores_codex":[0.9986376,0.0003101878,0.0001214018,0.0001295573,0.0006960063,0.0001052454],"domain_scores_gemma":[0.9977316,0.0007202637,0.00007756273,0.000524649,0.0006443101,0.0003017083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009152661,0.0001231109,0.001574931,0.0001933218,0.00002826572,0.0001098374,0.0004227977,0.0009583505,0.003369554,0.04194171,0.322827,0.6283597],"study_design_scores_gemma":[0.00001083641,0.00002503685,0.001248365,0.0001236845,0.00001745926,0.0001193161,0.0001301144,0.002313878,0.002193799,0.00634473,0.9874504,0.00002245065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01073013,0.01155151,0.2887351,0.02765187,0.004595236,0.0005927078,0.006390278,0.0526856,0.5970676],"genre_scores_gemma":[0.08385926,0.0231434,0.4210537,0.01606643,0.004720923,0.0004239442,0.02353431,0.01082297,0.4163751],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04676129,"threshold_uncertainty_score":0.1564322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007825636726570336,"score_gpt":0.234889127713282,"score_spread":0.2270634909867117,"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."}}