{"id":"W197200304","doi":"","title":"Modeling Urban Crime Patterns: Viewing Multi-Agent Systems as Abstract State Machines.","year":2005,"lang":"en","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Formalism (music); Crime analysis; Computer science; Focus (optics); State (computer science); Data science; Artificial intelligence; Theoretical computer science; Criminology; Sociology; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005982529,0.0001426511,0.0001724049,0.00008148704,0.0004186503,0.0002972123,0.0002569891,0.00005609137,0.004526972],"category_scores_gemma":[0.00003770044,0.0001267938,0.0001787817,0.00007991929,0.00003076072,0.0004109717,0.00005113987,0.0001448368,0.0008551344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182086,"about_ca_system_score_gemma":0.00004350652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09473277,"about_ca_topic_score_gemma":0.0112966,"domain_scores_codex":[0.9984941,0.00008328336,0.0004269819,0.0002661775,0.0003369168,0.0003924642],"domain_scores_gemma":[0.9994483,0.00002571027,0.00007091538,0.0001935142,0.00009346002,0.0001680742],"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":[0.00006608707,0.004571458,0.1969359,0.0009552079,0.0008757273,0.0001493296,0.183544,0.1436198,0.001661199,0.03576498,0.05189871,0.3799576],"study_design_scores_gemma":[0.0008016645,0.0000614069,0.00709631,0.0004879689,0.00005870896,0.000005497744,0.01504908,0.8902469,0.0001688766,0.00008191184,0.08516883,0.0007728442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669839,0.001411934,0.07128026,0.0009524504,0.0009696997,0.000489943,0.00004966536,0.0002983093,0.05756387],"genre_scores_gemma":[0.9782744,0.000117167,0.0002235967,0.0002211841,0.0004051127,0.00002284003,0.00001184137,0.00001915984,0.02070471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7466272,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039833532338733,"score_gpt":0.3855564421748141,"score_spread":0.2815730889409408,"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."}}