{"id":"W2084718099","doi":"10.3138/cjccj.2011.e.36","title":"The Geometry of Offending and Victimization","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polygon (computer graphics); Residence; Criminology; Geography; Psychology; Computer science; Demography; Sociology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003745786,0.0002286021,0.0002675547,0.003093428,0.000617491,0.002801201,0.0004472944,0.0002916708,0.006800829],"category_scores_gemma":[0.005581312,0.000227274,0.0003899279,0.003526403,0.002054994,0.001227807,0.002033053,0.0003696885,0.0009275745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160924,"about_ca_system_score_gemma":0.0007055458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579053,"about_ca_topic_score_gemma":0.01266281,"domain_scores_codex":[0.9988543,0.0003905221,0.00007262723,0.0001803543,0.0003612271,0.0001409159],"domain_scores_gemma":[0.9983961,0.0004109954,0.0005112091,0.0001407188,0.0003456142,0.000195378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001987267,0.00007287185,0.5019834,0.0002257886,0.0001774515,0.001490653,0.009665069,0.02522508,0.002176961,0.3243642,0.0111903,0.1232296],"study_design_scores_gemma":[0.00001685615,0.0001415921,0.7824518,0.0001120826,0.00005560893,0.004074648,0.02020478,0.01989337,0.00057617,0.1155433,0.05683152,0.00009823459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8335894,0.001159527,0.0358243,0.00126848,0.00007169341,0.0001660969,0.005901156,0.0002687279,0.1217508],"genre_scores_gemma":[0.9916026,0.0003499349,0.00470845,0.00001412871,0.00001315939,0.00004212184,0.000893396,0.00003037368,0.002345848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9842095,"threshold_uncertainty_score":0.03139722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230149026152884,"score_gpt":0.3518858892104814,"score_spread":0.228870986595193,"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."}}