{"id":"W2303442132","doi":"10.1007/s10940-016-9295-8","title":"Crime at Places and Spatial Concentrations: Exploring the Spatial Stability of Property Crime in Vancouver BC, 2003–2013","year":2016,"lang":"en","type":"article","venue":"Journal of Quantitative Criminology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Property crime; Point pattern analysis; Crime prevention; Geography; Criminology; Intersection (aeronautics); Stability (learning theory); Spatial ecology; Cartography; Computer science; Spatial distribution; Sociology; Violent crime","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009571015,0.0001091282,0.0003084381,0.0001193944,0.0002073545,0.00002061512,0.000219572,0.00006347342,0.001260051],"category_scores_gemma":[0.001631645,0.00005457227,0.00009066475,0.0000997294,0.001060368,0.0004811233,0.0000726018,0.0001607976,0.000008120847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558856,"about_ca_system_score_gemma":0.0002077945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01444301,"about_ca_topic_score_gemma":0.05917285,"domain_scores_codex":[0.9979687,0.000704459,0.0006581544,0.0001569741,0.0002567847,0.0002549307],"domain_scores_gemma":[0.9979683,0.0006410428,0.0004811716,0.0001176309,0.0007226554,0.00006920403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002915559,0.00182123,0.5141918,0.0002470995,0.0005313263,0.00007524269,0.1923958,0.00001503777,0.08271743,0.0658417,0.0385526,0.1006951],"study_design_scores_gemma":[0.003733082,0.002997054,0.8288506,0.0006676141,0.0002233082,0.00002210577,0.07729857,0.000138089,0.04065962,0.004796939,0.04015083,0.0004621699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909286,0.0004787228,0.003725064,0.002120673,0.00116725,0.0002357411,0.00001867534,0.00000559057,0.001319704],"genre_scores_gemma":[0.9986546,0.0005941475,0.000265849,0.00004361055,0.0001069588,0.00001192896,3.72361e-7,0.000006639616,0.0003158704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3146588,"threshold_uncertainty_score":0.9996529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2917082848668264,"score_gpt":0.3846124948143161,"score_spread":0.09290420994748966,"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."}}