{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271392,0.00004888048,0.00006108103,0.00003978867,0.0005945884,0.00009256751,0.0001080625,0.0000341173,0.0005011744],"category_scores_gemma":[0.00005514216,0.00004726824,0.00005343245,0.0000521711,0.00006617758,0.0002112951,0.00001487425,0.0006477871,0.0000349691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248852,"about_ca_system_score_gemma":0.0004039148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000571447,"about_ca_topic_score_gemma":0.01841654,"domain_scores_codex":[0.9986331,0.00007171011,0.0001187189,0.00008008251,0.0001376711,0.0009586529],"domain_scores_gemma":[0.9997596,0.00002447786,0.00005142063,0.00004326241,0.00004382255,0.00007744947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008689144,0.00006897958,0.001648401,0.000006621851,0.00005479047,0.000001468422,0.007293161,0.000004453834,0.0001044398,0.9254079,0.0008068819,0.06459419],"study_design_scores_gemma":[0.001015643,0.0002652894,0.001731339,0.00006985822,0.0001971205,0.0002854799,0.0910806,0.0002163626,0.0001804817,0.3327764,0.5717992,0.0003822679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246792,0.004405478,0.002143268,0.006881292,0.0002614424,0.00007083424,0.000001545976,0.00003453483,0.06152239],"genre_scores_gemma":[0.9916796,0.003856543,0.00002350463,0.0001037132,0.0009172776,9.794459e-7,2.892853e-7,0.000004649687,0.003413426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5926316,"threshold_uncertainty_score":0.9994948,"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."}}