{"id":"W4302339282","doi":"","title":"Thieves, Thugs, and Neighborhood Poverty","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Poverty; Political science; Sociology; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005879796,0.0002029463,0.0003779233,0.0006034919,0.0008018288,0.001631506,0.0004855741,0.0008286779,0.006575219],"category_scores_gemma":[0.003318262,0.0001622522,0.0002952571,0.0007444932,0.001291593,0.00141338,0.001061425,0.0008189669,0.0004937502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052612,"about_ca_system_score_gemma":0.0004632575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101584,"about_ca_topic_score_gemma":0.006499871,"domain_scores_codex":[0.9998062,0.00007587497,0.000005284315,0.00002806434,0.00003038629,0.00005425607],"domain_scores_gemma":[0.999388,0.0002882323,0.0001105473,0.00005400638,0.00006759682,0.00009159648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000793709,0.00006656805,0.02275728,0.00004078392,0.00003828175,0.0002682743,0.00121783,0.03056687,0.000250001,0.9217854,0.006240347,0.01668908],"study_design_scores_gemma":[0.00003277631,0.00005448362,0.01335727,0.00005474592,0.00002312069,0.000321455,0.001343719,0.08828989,0.0001741369,0.8775515,0.01877637,0.00002039631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756019,0.003771346,0.04930025,0.01653699,0.0001703352,0.00004962601,0.0005460572,0.0001010992,0.1539225],"genre_scores_gemma":[0.9842967,0.001201643,0.001662877,0.000160341,0.00002967737,0.00002197507,0.00009237725,0.00001524351,0.01251902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101584,"threshold_uncertainty_score":0.02199632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05088935443059634,"score_gpt":0.336725658034091,"score_spread":0.2858363036034947,"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."}}