{"id":"W4230989456","doi":"10.2139/ssrn.3689249","title":"Immigration, Crime, and Crime (Mis)Perceptions","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Criminology; Immigration; Perception; Political science; Computer security; Business; Psychology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002337258,0.0002996886,0.0003557008,0.002532879,0.002936258,0.004357361,0.0003781012,0.001083246,0.00690174],"category_scores_gemma":[0.009469776,0.0002800598,0.0005324787,0.001458925,0.002124505,0.002056255,0.003446405,0.001835353,0.0004224342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036664,"about_ca_system_score_gemma":0.001440517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692764,"about_ca_topic_score_gemma":0.02466468,"domain_scores_codex":[0.9982479,0.0007708503,0.0001908303,0.00009450606,0.000246028,0.0004499757],"domain_scores_gemma":[0.9927269,0.001610901,0.002435695,0.0001989564,0.0006732793,0.002354232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002349252,0.0007012786,0.9373136,0.00007543847,0.00007222249,0.0003757451,0.04534848,0.0001353641,0.0001163766,0.002726487,0.001300376,0.01159971],"study_design_scores_gemma":[0.00001984202,0.000257393,0.63991,0.0001366042,0.00006930156,0.0004778662,0.3526548,0.0002802044,0.0001152989,0.00102341,0.005014837,0.00004039696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916545,0.0002884821,0.00003913862,0.001114082,0.00003632231,0.00001565259,0.00008174524,0.000002041686,0.006768063],"genre_scores_gemma":[0.9984679,0.0002787503,0.00003577661,0.0001846737,0.00003135514,0.00001186768,0.00005961395,0.000002341462,0.0009277613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692764,"threshold_uncertainty_score":0.03365821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127305996978091,"score_gpt":0.2842408110455287,"score_spread":0.2715102113477196,"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."}}