{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002952623,0.0005351668,0.0007630549,0.000293132,0.0001445766,0.0001369889,0.001130736,0.0002182583,0.0001770167],"category_scores_gemma":[0.00002548376,0.0003001243,0.001082747,0.00003982745,0.00008386411,0.0002545339,0.0002576048,0.0003331597,0.00001128945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313603,"about_ca_system_score_gemma":0.0002465294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008795777,"about_ca_topic_score_gemma":0.000007514893,"domain_scores_codex":[0.998233,0.00005848777,0.0005512523,0.0006549869,0.0001571742,0.0003451512],"domain_scores_gemma":[0.9973378,0.001090912,0.0003548531,0.0009971085,0.0001096945,0.0001096439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004214682,0.00003118248,0.00003261445,0.0000749827,0.0007893153,9.446473e-7,0.0008853488,0.00003937628,0.0001063878,0.9229837,0.006669495,0.06834448],"study_design_scores_gemma":[0.001697945,0.001606588,0.002899352,0.0006532865,0.0003504127,0.000003535744,0.00006997256,0.07044327,0.01545527,0.8950562,0.009230142,0.002533991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001384252,0.00009558829,0.9209043,0.0002667215,0.0005660264,0.0007048887,0.000139117,0.00008769648,0.07585136],"genre_scores_gemma":[0.1773109,0.0004796157,0.2874382,0.000976444,0.0006572998,0.0002280366,0.0001233774,0.0002445584,0.5325415],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6334661,"threshold_uncertainty_score":0.9999451,"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."}}