{"id":"W2921836311","doi":"10.1093/jeea/jvz054","title":"Job Displacement, Unemployment, and Crime: Evidence from Danish Microdata and Reforms","year":2019,"lang":"en","type":"article","venue":"Journal of the European Economic Association","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Unemployment; Microdata (statistics); Layoff; Economics; Labour economics; Earnings; Displaced workers; Employment protection legislation; Demographic economics; Census","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":[0.003269481,0.0002389432,0.0006773063,0.002414486,0.0008292221,0.001774737,0.0007534239,0.0005881927,0.00269012],"category_scores_gemma":[0.01381625,0.000484292,0.0008782571,0.00498166,0.000795363,0.0005729339,0.002173594,0.0007042684,0.0004545145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421497,"about_ca_system_score_gemma":0.001853392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1671699,"about_ca_topic_score_gemma":0.1563233,"domain_scores_codex":[0.995378,0.001740055,0.0006735426,0.0006044473,0.0009108504,0.0006931758],"domain_scores_gemma":[0.9749995,0.008920888,0.01135944,0.002108097,0.001761899,0.0008502412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002759634,0.0001057,0.9874467,0.0002466229,0.0005611995,0.00009270577,0.000523336,0.001976596,0.00005104098,0.0009767186,0.002832851,0.004910388],"study_design_scores_gemma":[0.00001561959,0.00003399026,0.995052,0.00007087983,0.0001381725,0.00002410608,0.0007062535,0.0007938191,0.00008489978,0.0001121013,0.002956773,0.0000113329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760024,0.002918306,0.0005467965,0.0007015383,0.0000407201,0.00005034667,0.01618993,0.00001589804,0.003534081],"genre_scores_gemma":[0.9886214,0.0008532174,0.0002055618,0.00006861995,0.00001895434,0.00002501033,0.009423788,0.000005988321,0.0007773661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671699,"threshold_uncertainty_score":0.3323938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099333586082521,"score_gpt":0.3043720246873465,"score_spread":0.2733786888265213,"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."}}