{"id":"W2108516750","doi":"10.1186/1476-072x-7-61","title":"Spatial event cluster detection using an approximate normal distribution","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Poisson distribution; Cluster (spacecraft); Computer science; Event (particle physics); Population; Statistics; Recursion (computer science); Data mining; Mathematics; Algorithm; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009805663,0.0007318063,0.001320591,0.00284179,0.0008207572,0.00180084,0.0029863,0.0013396,0.002592851],"category_scores_gemma":[0.04250371,0.0005289246,0.001438166,0.002545,0.00178513,0.002636725,0.002113284,0.001586467,0.0006504345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002150598,"about_ca_system_score_gemma":0.002320694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710466,"about_ca_topic_score_gemma":0.008112825,"domain_scores_codex":[0.994827,0.002408443,0.0002891555,0.00100064,0.001175704,0.0002990445],"domain_scores_gemma":[0.9735005,0.01903337,0.00165746,0.001793813,0.003688727,0.0003260956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005080499,0.0001065159,0.02476337,0.0001643373,0.0001718134,0.0003654393,0.0004802157,0.7798111,0.001409179,0.05026695,0.002521501,0.1394316],"study_design_scores_gemma":[0.00001345753,0.0000225127,0.0007728315,0.000008983758,0.000007974242,0.00008552923,0.00003387022,0.9878542,0.0003678787,0.01023386,0.0005865704,0.00001235855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0211335,0.0001109747,0.9770354,0.0001439208,0.0000263816,0.0001231379,0.0001263192,0.0006579631,0.0006423829],"genre_scores_gemma":[0.5574508,0.0002864011,0.4387506,0.0001531313,0.00008167118,0.0003961479,0.0007763651,0.0001520025,0.001952703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01710466,"threshold_uncertainty_score":0.05185795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221504912514227,"score_gpt":0.3387293071314591,"score_spread":0.3065142580063168,"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."}}