{"id":"W4245506753","doi":"10.1017/s0956792516000140","title":"Personalized crime location prediction","year":2016,"lang":"en","type":"article","venue":"European Journal of Applied Mathematics","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Law enforcement; Criminology; Geography; Crime analysis; Space (punctuation); Enforcement; Economic geography; Computer science; Sociology; Political science; Law","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":[0.0004205309,0.001067019,0.001153514,0.003075766,0.0004351989,0.0007043607,0.001760331,0.001018221,0.004584058],"category_scores_gemma":[0.003159941,0.0003670251,0.0009048963,0.002783554,0.0001775525,0.001298694,0.0009278114,0.001179812,0.003198026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537962,"about_ca_system_score_gemma":0.0009048402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019489,"about_ca_topic_score_gemma":0.05100722,"domain_scores_codex":[0.9992852,0.0001309955,0.00004574265,0.0002970906,0.0001571769,0.00008391959],"domain_scores_gemma":[0.9985802,0.0003325706,0.0001921133,0.000359844,0.0004288451,0.000106352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004524286,0.001175863,0.1294384,0.0004153861,0.0003533572,0.0004211977,0.0001599572,0.1275544,0.001720062,0.003432303,0.1344377,0.600439],"study_design_scores_gemma":[0.00006412946,0.0001395922,0.02719257,0.00007702505,0.0001546845,0.0005991132,0.0002876897,0.9451908,0.002755666,0.006525389,0.01694739,0.00006597085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4189505,0.002935313,0.4598319,0.004998301,0.0008633839,0.001080053,0.07443618,0.01617836,0.02072606],"genre_scores_gemma":[0.7788399,0.0009714402,0.1681403,0.0003949078,0.000281442,0.0003555301,0.04174553,0.0002075195,0.009063424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.019489,"threshold_uncertainty_score":0.03875113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005557464595303,"score_gpt":0.3087733891191068,"score_spread":0.2587178144731538,"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."}}