{"id":"W2153140731","doi":"10.1111/j.1538-4632.2012.00858.x","title":"A Spatial Scan Approach to Detecting Focused‐Global Clustering in Case‐Control Data","year":2012,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cluster analysis; Event (particle physics); Computer science; Geography; Cluster (spacecraft); Focus (optics); Data mining; Cartography; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113971,0.0002361075,0.0007242055,0.0006718439,0.00009722001,0.00004720811,0.0003715988,0.0001129042,0.0001106945],"category_scores_gemma":[0.0004830676,0.0002113857,0.000321971,0.004569628,0.00006885955,0.0002014446,0.0004677463,0.0002517014,0.00002511513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007735879,"about_ca_system_score_gemma":0.00003211389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007164634,"about_ca_topic_score_gemma":0.01679168,"domain_scores_codex":[0.9974048,0.0002017966,0.0004832787,0.0007135608,0.0004492797,0.0007472684],"domain_scores_gemma":[0.9975525,0.00009097656,0.00009362716,0.001476067,0.00006054496,0.0007262549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002591718,0.000305996,0.9452107,0.00004133939,0.00113651,0.0002293517,0.00004120382,0.0004193274,0.00001353386,0.00000883689,0.00003940572,0.05229462],"study_design_scores_gemma":[0.001801615,0.00004179557,0.8818638,0.00001882523,0.00279985,0.0002564363,0.00008317682,0.1124948,0.000002594399,0.000007987338,0.0003745004,0.0002545913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121133,0.0003756604,0.08463798,0.0003254547,0.00006472367,0.0004187565,0.0009601022,0.0001292201,0.0009748131],"genre_scores_gemma":[0.9940867,0.000007627949,0.004753419,0.0004202986,0.0002755593,0.00003961245,0.0003948511,0.00001677373,0.000005170476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1120755,"threshold_uncertainty_score":0.9994467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631052244412712,"score_gpt":0.2913721833166618,"score_spread":0.2650616608725347,"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."}}