{"id":"W1565180830","doi":"10.3386/w8281","title":"Employment, Dynamic Deterrence and Crime","year":2001,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Deterrence (psychology); Criminology; Economics; Political science; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004803989,0.000116382,0.0002606677,0.0005585321,0.0003321023,0.0001212763,0.0004014845,0.0002360802,0.004865441],"category_scores_gemma":[0.0008394692,0.0001274559,0.0001434421,0.0001241255,0.0005994169,0.000165559,0.0001542121,0.0004113192,0.0001366127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573525,"about_ca_system_score_gemma":0.002646142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03069009,"about_ca_topic_score_gemma":0.01538745,"domain_scores_codex":[0.9973114,0.0002206711,0.0004588361,0.0003746977,0.00128467,0.000349784],"domain_scores_gemma":[0.9978913,0.0004683209,0.0001935115,0.0001674049,0.001157419,0.0001220108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005177904,0.0004598979,0.02634692,0.00039952,0.0005086096,0.00001749263,0.002171542,0.00002133524,0.0001321936,0.3016844,0.6132821,0.05492419],"study_design_scores_gemma":[0.0003134528,0.0001615891,0.00988532,0.000368285,0.00002568082,0.00001632167,0.0007835977,0.0001697808,0.00002523127,0.2013872,0.7865253,0.0003381784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008175437,0.001612805,0.00001247845,0.0008539881,0.0005133348,0.0003518431,0.00008522165,0.00001505066,0.9883798],"genre_scores_gemma":[0.8821046,0.009925036,0.00005782453,0.000012585,0.0005900034,0.00006395687,0.000156236,0.00002247715,0.1070672],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8813126,"threshold_uncertainty_score":0.9960442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5749368054579993,"score_gpt":0.6292229435562371,"score_spread":0.05428613809823779,"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."}}