{"id":"W2086910652","doi":"10.1016/j.jcrimjus.2013.05.006","title":"Unemployment, business cycles, crime, and the Canadian provinces","year":2013,"lang":"en","type":"article","venue":"Journal of Criminal Justice","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unemployment; Gross domestic product; Economics; Context (archaeology); Variable (mathematics); Per capita; Gross Regional Product; Property crime; Economy; Product (mathematics); Econometrics; Demographic economics; Macroeconomics; Geography; Mathematics; Violent crime; Sociology","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":[0.001347224,0.0003175636,0.0006400131,0.003214603,0.008822819,0.002827711,0.001493925,0.0006951179,0.005887543],"category_scores_gemma":[0.007155007,0.0004404295,0.0007848473,0.007109127,0.001865239,0.0007719841,0.001795497,0.00114392,0.0001730497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09013802,"about_ca_system_score_gemma":0.1768839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994048,"about_ca_topic_score_gemma":0.9997084,"domain_scores_codex":[0.99823,0.0002139113,0.00006292108,0.0001059006,0.0002681282,0.001119161],"domain_scores_gemma":[0.9957975,0.0005300523,0.0004724145,0.0001357371,0.001528818,0.00153547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006188641,0.0001979679,0.9205626,0.0002247154,0.0001991897,0.0002480224,0.00458426,0.003051518,0.0001822607,0.01751124,0.01104232,0.04157712],"study_design_scores_gemma":[0.00005270273,0.00003785096,0.9745945,0.0002090976,0.0001061111,0.00004770048,0.01016048,0.001704975,0.0001049585,0.0009318466,0.01200192,0.00004788247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963028,0.006378226,0.0001868497,0.006363004,0.0000794371,0.00005031596,0.003971698,0.00002285237,0.01991963],"genre_scores_gemma":[0.9947194,0.002098245,0.0001165982,0.0001671393,0.00001272775,0.000009655314,0.0004348436,0.000005566706,0.002435866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09013802,"threshold_uncertainty_score":0.6540002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04554234026970939,"score_gpt":0.3404327258815833,"score_spread":0.2948903856118739,"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."}}