{"id":"W3003439624","doi":"10.1080/19475683.2020.1720290","title":"A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots","year":2020,"lang":"en","type":"article","venue":"Annals of GIS","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Property crime; Bayesian probability; Crime analysis; Crime prevention; Geography; Criminology; Spatial ecology; Violent crime; Computer science; Artificial intelligence; Psychology; Ecology; Biology","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":[0.005065571,0.001216864,0.002105751,0.003273858,0.0009760402,0.002082478,0.003511397,0.001708108,0.004335254],"category_scores_gemma":[0.01327765,0.001265257,0.002188646,0.003896468,0.00201874,0.00258737,0.002173747,0.001896324,0.0008071385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002250142,"about_ca_system_score_gemma":0.002528982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04736192,"about_ca_topic_score_gemma":0.03493489,"domain_scores_codex":[0.9966817,0.00187051,0.0001164548,0.0006915947,0.0003352776,0.0003043819],"domain_scores_gemma":[0.9941304,0.003788482,0.0006882614,0.0003816947,0.0008023789,0.0002086277],"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":[0.0003843271,0.0001760125,0.03406465,0.0002072777,0.0006367625,0.0002902464,0.0006947265,0.7391491,0.0006222576,0.1679609,0.005285591,0.05052819],"study_design_scores_gemma":[0.00003906765,0.00003781056,0.00492302,0.0000407068,0.00009250201,0.00008804484,0.0001196637,0.9349838,0.0001021661,0.05781682,0.001714833,0.00004140948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09191875,0.0006104065,0.90058,0.0008925052,0.00007987145,0.0002677034,0.001469996,0.0004025474,0.003778185],"genre_scores_gemma":[0.8392872,0.001074301,0.1464963,0.0002163721,0.0001281093,0.0008264835,0.003260311,0.0001522141,0.008558813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04736192,"threshold_uncertainty_score":0.09417248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3315691566817129,"score_gpt":0.4292192933348938,"score_spread":0.0976501366531809,"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."}}