{"id":"W4380521108","doi":"10.6000/1929-4409.2020.09.09","title":"Poor Education and Unemployment Implications for Youth Crimes in Nigeria","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Educational attainment; Youth unemployment; Criminology; Psychology; Demographic economics; Sociology; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004935542,0.0001006533,0.0002085084,0.0009519727,0.001871372,0.001305687,0.000166577,0.0004234855,0.002623207],"category_scores_gemma":[0.002004855,0.0001526337,0.0001967645,0.000754913,0.0007768828,0.0005772386,0.0009933633,0.0008194291,0.0001076744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115113,"about_ca_system_score_gemma":0.001962979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743497,"about_ca_topic_score_gemma":0.07573784,"domain_scores_codex":[0.9995837,0.0001255155,0.00003359623,0.00002365445,0.00003389695,0.0001997628],"domain_scores_gemma":[0.9988732,0.000175098,0.0004584035,0.00001539399,0.00009256143,0.0003853904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005409244,0.0000910113,0.985489,0.00006266251,0.00001040369,0.0007325497,0.004080174,0.00006774747,0.00007196731,0.001556901,0.0004363367,0.007347232],"study_design_scores_gemma":[0.000002418343,0.00004537698,0.9661838,0.000267527,0.00001965319,0.000532602,0.03032915,0.0001316242,0.00005793048,0.0006830291,0.001740445,0.000006392064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938896,0.001604686,0.00001903168,0.001286471,0.00002399942,0.000005654514,0.00007691183,8.063635e-7,0.003092855],"genre_scores_gemma":[0.9990065,0.0006924262,0.00001534681,0.00005328429,0.00000578585,0.00000206621,0.00001361487,3.531203e-7,0.0002107009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02743497,"threshold_uncertainty_score":0.05455059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214255996330124,"score_gpt":0.428121028291907,"score_spread":0.3066954286588947,"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."}}