{"id":"W4408085363","doi":"10.1007/978-3-031-64350-7_24","title":"Cluster-Weighted Disjoint Factor Analyzers for Exploring the Impact of Socioeconomic Factors on Crime Rates","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Disjoint sets; Socioeconomic status; Cluster (spacecraft); Factor (programming language); Statistics; Geography; Computer science; Econometrics; Mathematics; Demography; Sociology; Combinatorics; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003347571,0.001537695,0.00120938,0.003044248,0.0008235297,0.00168593,0.002267267,0.0008843725,0.008156599],"category_scores_gemma":[0.01566663,0.001007882,0.002358625,0.00459055,0.0009562589,0.002686811,0.001870745,0.001887952,0.001296222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006906652,"about_ca_system_score_gemma":0.001056436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007627629,"about_ca_topic_score_gemma":0.009283942,"domain_scores_codex":[0.9987124,0.0006211986,0.00005867253,0.0002473895,0.0002776458,0.00008266392],"domain_scores_gemma":[0.9929548,0.005730168,0.0002369389,0.0005791077,0.0003824618,0.0001164794],"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":[0.0006992464,0.0002324742,0.01056027,0.0002591511,0.0008464735,0.000201405,0.0007171835,0.2419771,0.008438765,0.2315245,0.008663042,0.4958804],"study_design_scores_gemma":[0.00002527331,0.00003229362,0.002635145,0.00003106509,0.00007788528,0.0000964116,0.0001309055,0.8018204,0.001292771,0.191733,0.002081423,0.00004349505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007831972,0.0001627819,0.9902869,0.0000493947,0.0000152847,0.0000303258,0.0002836831,0.0005892334,0.0007502548],"genre_scores_gemma":[0.09785826,0.0003466685,0.8973789,0.00004748801,0.00004586659,0.0002160264,0.001276292,0.0005324229,0.002298078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008156599,"threshold_uncertainty_score":0.02728653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06553413450151578,"score_gpt":0.3198791679749831,"score_spread":0.2543450334734673,"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."}}