{"id":"W2899591615","doi":"10.11575/sppp.v11i0.52963","title":"Social Policy Trends: Recessions, Drugs and Their Impact on Property Crime in Calgary","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Recession; Property crime; Property (philosophy); Economics; Criminology; Sociology; Violent crime; Keynesian economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003864463,0.0001732971,0.0002617956,0.001582038,0.0009148681,0.002026205,0.0005820589,0.0008083562,0.003523631],"category_scores_gemma":[0.00191404,0.0001996351,0.0003048076,0.00354243,0.001293181,0.0007402622,0.001980758,0.001373079,0.0002638657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01031024,"about_ca_system_score_gemma":0.007256737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7619655,"about_ca_topic_score_gemma":0.8008307,"domain_scores_codex":[0.9995458,0.00005795417,0.00002253919,0.00003025523,0.00004920637,0.0002942721],"domain_scores_gemma":[0.9984514,0.0001361281,0.0007004073,0.00002746476,0.0002309227,0.0004536993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002407026,0.0002009023,0.9510158,0.0002057709,0.0001308226,0.0005942035,0.005056853,0.001971654,0.0002606316,0.003780796,0.0145063,0.02203562],"study_design_scores_gemma":[0.000004610606,0.00001680109,0.994048,0.00005942629,0.0000114285,0.00001013734,0.003970209,0.0001508242,0.00002264931,0.0001001626,0.001601081,0.000004761515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819329,0.001771326,0.00003174575,0.01007295,0.00004138053,0.00001388875,0.001871922,0.000007142939,0.004256626],"genre_scores_gemma":[0.9936792,0.0027887,0.00003842844,0.0008419511,0.00006173718,0.00001316483,0.001074767,0.000005229201,0.001496762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2380345,"threshold_uncertainty_score":0.4788726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06862832574542146,"score_gpt":0.437602739206176,"score_spread":0.3689744134607545,"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."}}