{"id":"W2890106829","doi":"10.1093/acrefore/9780190264079.013.8","title":"Crime Pattern Theory","year":2021,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Criminology and Criminal Justice","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Criminology; Everyday life; Crime prevention; Space (punctuation); Population; Geography; Human settlement; Social space; Socioeconomic status; Sociology; Political science; Computer science; Demography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002833623,0.0004160966,0.0008396744,0.0006943801,0.001221033,0.0001386298,0.0009971302,0.001131271,0.007171865],"category_scores_gemma":[0.002915712,0.0004047832,0.0003276896,0.0002259798,0.002764572,0.000230641,0.0007271639,0.002399757,0.00005920454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478007,"about_ca_system_score_gemma":0.001449467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902727,"about_ca_topic_score_gemma":0.0006264231,"domain_scores_codex":[0.9927828,0.00291587,0.0007727732,0.0008987121,0.001269202,0.001360686],"domain_scores_gemma":[0.9948941,0.002448434,0.000287906,0.0006520723,0.001299605,0.0004178452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001244139,0.0004683553,0.0001749171,0.005728745,0.0002172435,0.0002579192,0.0146328,1.352587e-7,0.000002435617,0.1327806,0.1315328,0.7140797],"study_design_scores_gemma":[0.0003214299,0.0004315824,0.001551809,0.001109277,0.001962638,0.00003098513,0.07457404,0.000002085714,0.00002042472,0.008711367,0.9108527,0.0004316699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01774136,0.02497953,0.0005963678,0.0005802927,0.002351517,0.0004317315,0.0002061538,0.00005119938,0.9530618],"genre_scores_gemma":[0.0260717,0.7291136,0.0001815709,0.0001879819,0.002090811,0.000107564,0.0002286375,0.00005977178,0.2419584],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7793199,"threshold_uncertainty_score":0.9999493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1654952900425439,"score_gpt":0.4301635879886599,"score_spread":0.264668297946116,"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."}}