{"id":"W1996051714","doi":"10.1109/eisic.2011.13","title":"Analyzing an Offender's Journey to Crime: A Criminal Movement Model (CriMM)","year":2011,"lang":"en","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund","keywords":"Dijkstra's algorithm; Criminology; Commit; Shortest path problem; Computer science; Geography; Attractor; Computer security; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007249235,0.0005356626,0.0005582144,0.0009963851,0.000712878,0.001061684,0.001362868,0.001288423,0.003627089],"category_scores_gemma":[0.002860911,0.0003547876,0.0006367994,0.0009319427,0.0007188804,0.001096526,0.0009168267,0.001004494,0.0003372099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672974,"about_ca_system_score_gemma":0.001570473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05204068,"about_ca_topic_score_gemma":0.03533968,"domain_scores_codex":[0.9997334,0.0001115654,0.0000100751,0.00006684321,0.00002858411,0.00004942548],"domain_scores_gemma":[0.999129,0.0004749531,0.0001408052,0.00005462461,0.0001140447,0.00008654774],"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":[0.00006087828,0.00007915475,0.01489529,0.00003515812,0.00004919008,0.0001499793,0.0001855169,0.9640436,0.0002176981,0.01516134,0.0008368525,0.004285398],"study_design_scores_gemma":[0.00001688512,0.00005190731,0.001610537,0.00001036472,0.00001847314,0.00006646509,0.0001401572,0.9929467,0.00005041524,0.004118323,0.000959338,0.00001046532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8430887,0.0003498246,0.1384497,0.001994471,0.00007822373,0.0002270252,0.002049806,0.0001780507,0.0135842],"genre_scores_gemma":[0.9683834,0.000301364,0.02235725,0.00008221399,0.00002428985,0.0003065471,0.00057431,0.00002897604,0.007941761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204068,"threshold_uncertainty_score":0.1034756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3291528387461976,"score_gpt":0.4219818445114027,"score_spread":0.0928290057652052,"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."}}