{"id":"W4406203380","doi":"10.61091/jcmcc123-40","title":"A Study on the Application of Data Mining-based Crime Prediction Models in Criminal Justice","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Construct (python library); Node (physics); Raster graphics; Function (biology); Data mining; Algorithm; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003245943,0.0007289824,0.0007811015,0.001229273,0.0005275463,0.001308629,0.001078717,0.0008013586,0.0006508922],"category_scores_gemma":[0.009883223,0.0003154162,0.0008206571,0.00133049,0.0004619411,0.002168984,0.0006407303,0.001046474,0.00009739511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159107,"about_ca_system_score_gemma":0.001634678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143002,"about_ca_topic_score_gemma":0.01216442,"domain_scores_codex":[0.9989443,0.0004627488,0.00006694293,0.0002343136,0.0001929548,0.00009882518],"domain_scores_gemma":[0.9960783,0.002628308,0.0002227708,0.0002024602,0.0007482508,0.0001199559],"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":[0.0001732989,0.0004878594,0.05685678,0.0002322931,0.0002405508,0.0002861669,0.0003139983,0.773232,0.0009887556,0.0155653,0.002887818,0.1487352],"study_design_scores_gemma":[0.000002942684,0.00002677877,0.00192224,0.00001200391,0.00001599077,0.00001920977,0.00004953402,0.9955245,0.0002070597,0.001929283,0.0002861058,0.000004349586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6159136,0.003484647,0.3675557,0.004483745,0.0001912453,0.0002314975,0.0003773593,0.0004682853,0.00729394],"genre_scores_gemma":[0.9670246,0.001053642,0.03068062,0.0001603144,0.00005433949,0.00005803848,0.0001871009,0.00001633199,0.000765042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02143002,"threshold_uncertainty_score":0.04261059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170867523295041,"score_gpt":0.3881246001850704,"score_spread":0.2710378478555663,"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."}}