{"id":"W2113847674","doi":"10.2139/ssrn.2720224","title":"Configuring Security and Justice","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Economic Justice; Meaning (existential); Crime control; Criminal justice; Control (management); Presentation (obstetrics); Criminology; Public security; Field (mathematics); Kinship; Sociology; Public opinion; Political science; Law; Psychology; Economics; Management; Politics","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":[0.001764886,0.0004687906,0.0002294673,0.001153532,0.002179839,0.007002201,0.0008399945,0.001214453,0.01699882],"category_scores_gemma":[0.01114665,0.0004049065,0.0003199439,0.0006009624,0.00349073,0.005399556,0.003390674,0.001695565,0.001653378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316262,"about_ca_system_score_gemma":0.001568994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952375,"about_ca_topic_score_gemma":0.003434151,"domain_scores_codex":[0.9979964,0.0007838208,0.000095752,0.0003398769,0.0003481004,0.0004360286],"domain_scores_gemma":[0.9955403,0.00104124,0.0008502732,0.0009219758,0.0005363271,0.001109832],"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":[0.0008359837,0.0005704696,0.1414323,0.0001454476,0.0001218068,0.001503141,0.01554391,0.007396541,0.01418686,0.5621996,0.009732184,0.2463319],"study_design_scores_gemma":[0.00009627431,0.0008290547,0.1553264,0.0002516547,0.0001181966,0.002058853,0.02939826,0.02838006,0.00832635,0.7172891,0.05774009,0.0001856642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.709774,0.000309436,0.03512964,0.005157189,0.0001924007,0.0001193969,0.0001150199,0.0004734913,0.2487295],"genre_scores_gemma":[0.9951702,0.00002867073,0.00250953,0.00009278287,0.000008090507,0.00001381225,0.00002300562,0.00003375974,0.002120103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699882,"threshold_uncertainty_score":0.05686677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730138900855837,"score_gpt":0.3352175228171854,"score_spread":0.317916133808627,"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."}}