{"id":"W3111783525","doi":"10.2196/24132","title":"Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; Defense Threat Reduction Agency; U.S. Department of Energy","keywords":"Computer science; Web application; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408147,0.0002553952,0.0007950086,0.0002864738,0.0002194939,0.00005150621,0.00009217387,0.00005664262,0.00003996927],"category_scores_gemma":[0.001049334,0.0002428758,0.0001095203,0.001603837,0.00009974999,0.0001896454,0.00007887572,0.0001775586,0.00000101806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007089946,"about_ca_system_score_gemma":0.001148025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003390246,"about_ca_topic_score_gemma":0.000278076,"domain_scores_codex":[0.9968854,0.0007814324,0.0007144472,0.0007222607,0.0003996026,0.0004968771],"domain_scores_gemma":[0.9970459,0.0002104552,0.0003784147,0.000499448,0.0002482213,0.001617507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001387183,0.0003858871,0.9513522,0.001160278,0.0002537119,0.0004111115,0.00052058,0.0002030975,0.0007218589,0.000001337455,0.0001512224,0.04345152],"study_design_scores_gemma":[0.0033358,0.001047355,0.386327,0.00002026819,0.00006704208,0.00003087947,0.0007290041,0.6073429,0.00001025727,0.000001139527,0.0007773216,0.0003110238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643682,0.001370143,0.02986462,0.00216881,0.00004905575,0.001855075,0.0001804789,0.0001371413,0.00000645868],"genre_scores_gemma":[0.9970079,0.00009114737,0.00144826,0.00120135,0.00006412386,0.00009111023,0.0000643919,0.00002730009,0.000004380726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6071398,"threshold_uncertainty_score":0.9904189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533066295573708,"score_gpt":0.3255846447994495,"score_spread":0.2702539818437125,"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."}}