{"id":"W2890986294","doi":"10.1111/j.0020-6598.2004.00288.x","title":"EDUCATION, WORK, AND CRIME: A HUMAN CAPITAL APPROACH*","year":2004,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Commit; Human capital; National Longitudinal Surveys; Subsidy; Enforcement; Work (physics); Wage; White-collar crime; Labour economics; Demographic economics; Economics; Criminology; Psychology; Political science; Economic growth; Engineering","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005189587,0.0004070408,0.001002957,0.0002865999,0.00007892934,0.0002360015,0.0008086424,0.0002569543,0.0009337397],"category_scores_gemma":[0.00006805822,0.0005076134,0.0003490392,0.00003875984,0.0001300029,0.0002677767,0.0005911855,0.0005050587,0.001434947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009079609,"about_ca_system_score_gemma":0.0002239764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004531294,"about_ca_topic_score_gemma":0.00000798464,"domain_scores_codex":[0.9971421,0.0000183119,0.001509138,0.001018535,0.00003003017,0.0002818789],"domain_scores_gemma":[0.9981292,0.00002463772,0.001045037,0.000604264,0.00003141134,0.0001654652],"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":[0.000003568631,0.000119567,0.004526016,0.001451619,0.000237513,7.62312e-7,0.0001151728,0.00008016415,9.834891e-8,0.9761108,0.01560492,0.001749769],"study_design_scores_gemma":[0.0003911887,0.00001723464,0.01850866,0.00166298,0.00004043702,0.00002212602,0.00001416436,0.00009112118,0.000001497765,0.7875382,0.1909146,0.0007977757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04668708,0.1748398,0.0002699046,0.009677256,0.00471693,0.001302552,0.0008299082,0.0000938112,0.7615828],"genre_scores_gemma":[0.9590182,0.02762262,0.0009496643,0.005284152,0.001810551,0.000558725,0.0009563965,0.0001012151,0.003698437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9123312,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477062929218626,"score_gpt":0.2864457720032297,"score_spread":0.2316751427110435,"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."}}