{"id":"W4281385907","doi":"10.3386/w30070","title":"The Crime Effect of Refugees","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Refugee; Criminology; Political science; Psychology; Law","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":[0.0005722705,0.000389511,0.0003633009,0.001085294,0.000616673,0.001111372,0.0005348466,0.0003822609,0.004792887],"category_scores_gemma":[0.005198758,0.0002128184,0.001075422,0.00067078,0.0007112307,0.0004587255,0.002316894,0.001219262,0.0006383477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030447,"about_ca_system_score_gemma":0.0009989953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04641857,"about_ca_topic_score_gemma":0.04906192,"domain_scores_codex":[0.9990369,0.0003169717,0.00005902377,0.0001310767,0.0001263734,0.0003295971],"domain_scores_gemma":[0.997707,0.0004016627,0.0009923242,0.0001847799,0.000259617,0.0004545875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000146902,0.0001864971,0.9789637,0.00004893144,0.0002763571,0.000647401,0.000316932,0.003420319,0.0001535153,0.002549342,0.002997729,0.01029241],"study_design_scores_gemma":[0.00002273623,0.0002007853,0.984268,0.00009339376,0.0001433164,0.0005998808,0.002037259,0.005970777,0.0005304445,0.0007352269,0.005366683,0.00003143959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926078,0.0004055739,0.0003469074,0.0007224894,0.00004158264,0.00001591081,0.00202944,0.00001726282,0.003813004],"genre_scores_gemma":[0.9969507,0.0002541242,0.0001275478,0.00006811618,0.00001960678,0.00001312495,0.001352385,0.000006701215,0.00120755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04641857,"threshold_uncertainty_score":0.09229678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3233576244768175,"score_gpt":0.5309061370590327,"score_spread":0.2075485125822152,"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."}}