{"id":"W156809530","doi":"10.1017/s1481803500009817","title":"Implementation of an automated, real-time public health surveillance system linking emergency departments and health units: rationale and methodology","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Public health; Public health surveillance; Medicine; Medical emergency; Disease surveillance; Agency (philosophy); Health care; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003547922,0.0002038942,0.0009050368,0.0005663147,0.0002654717,0.000002862147,0.0001355363,0.00006120735,0.0006574763],"category_scores_gemma":[0.0003864751,0.0001805002,0.00004517041,0.0006514196,0.0001467525,0.0002371387,0.00001573089,0.0001633743,0.000001690525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316806,"about_ca_system_score_gemma":0.004155916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02240636,"about_ca_topic_score_gemma":0.05335286,"domain_scores_codex":[0.9963973,0.0007830767,0.001678322,0.000261987,0.0003980278,0.0004813498],"domain_scores_gemma":[0.9956414,0.00006554569,0.001256242,0.0002683646,0.0008650299,0.001903386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007986779,0.00005862693,0.9273524,0.001297978,0.0004200471,0.0002056926,0.005661429,0.00001132624,0.0007954583,0.0004862619,0.05698865,0.006642252],"study_design_scores_gemma":[0.002676229,0.002132656,0.982388,0.0002884488,0.00005283697,0.0008963871,0.003512697,0.0005833211,0.00001524979,0.00003549359,0.007231005,0.0001876279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787719,0.01039449,0.0004149974,0.007452041,0.001684909,0.0006456422,0.0003916102,0.00005470551,0.0001896722],"genre_scores_gemma":[0.9857616,0.01034545,0.002273303,0.0002578276,0.0005057674,0.000007828052,0.0007300546,0.0000376869,0.00008047764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05503564,"threshold_uncertainty_score":0.9841035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2715266312547512,"score_gpt":0.4436542237470231,"score_spread":0.1721275924922719,"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."}}