{"id":"W1997479975","doi":"10.4236/sm.2013.34037","title":"Cheque Cashing Places: Preying on Areas with High Crime","year":2013,"lang":"en","type":"article","venue":"Sociology Mind","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Cheque; Census tract; Unbanked; Cash; Ledger; Business; Socioeconomic status; Foreclosure; Loan; Demographic economics; Economics; Finance; Sociology; Financial services; Computer security; Financial inclusion","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002662668,0.00008785065,0.0001264414,0.0000402054,0.0004641755,0.00005043055,0.0001584054,0.0001457742,0.006717762],"category_scores_gemma":[0.00008822946,0.00007007347,0.0000600058,0.0000453547,0.0004816811,0.0001543724,0.00002422685,0.0001958715,0.0007361045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008475612,"about_ca_system_score_gemma":0.00006202862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006449379,"about_ca_topic_score_gemma":0.001138766,"domain_scores_codex":[0.9990885,0.0001821564,0.0001218946,0.0002025509,0.000107145,0.0002977046],"domain_scores_gemma":[0.9994983,0.0001775394,0.00006910363,0.0001195345,0.00006248979,0.00007299852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001055745,0.000862464,0.2423746,0.00007456831,0.0006450517,0.00006905671,0.486541,0.00008235113,0.004017104,0.1708347,0.06628853,0.028105],"study_design_scores_gemma":[0.002662122,0.001991588,0.6261361,0.000527814,0.0001989807,0.00002114767,0.2326276,0.00006982961,0.004661943,0.03941468,0.09007803,0.001610147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322999,0.00004180734,0.00009056675,0.002264395,0.0002041921,0.0002012149,0.000004774141,0.00002666908,0.06486648],"genre_scores_gemma":[0.9938005,0.000004494392,0.0001743821,0.0003072933,0.0002336956,0.00004927226,0.000007655596,0.000008783637,0.005413882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3837616,"threshold_uncertainty_score":0.9941902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903707130861124,"score_gpt":0.3428184987307172,"score_spread":0.2937814274221059,"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."}}