{"id":"W3045318343","doi":"10.1093/jrs/feaa072","title":"Refugee Crisis, Valuation of Life, and Violent Crime","year":2020,"lang":"en","type":"article","venue":"Journal of Refugee Studies","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Homicide; Criminology; Proxy (statistics); Population; Demographic economics; Argument (complex analysis); Valuation (finance); Commit; Political science; Development economics; Sociology; Poison control; Demography; Economics; Suicide prevention; Law; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009008231,0.0001226661,0.0004614659,0.00007264504,0.0001881621,0.00002591324,0.0002065624,0.00006713954,0.00002085573],"category_scores_gemma":[0.001537749,0.00009408504,0.0001226472,0.000165566,0.0003071824,0.0002634891,0.00007060466,0.0001962929,0.000006051358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006314983,"about_ca_system_score_gemma":0.0001712165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000397309,"about_ca_topic_score_gemma":0.00002171783,"domain_scores_codex":[0.9981368,0.0002479705,0.0006111415,0.0001395307,0.0006295664,0.0002350421],"domain_scores_gemma":[0.9984084,0.000206265,0.0004553507,0.0000835656,0.0005827501,0.000263663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009041406,0.0004299128,0.03157347,0.0008348626,0.001932238,0.00007882412,0.8277555,0.00003583331,0.001856499,0.01987864,0.06848042,0.04623969],"study_design_scores_gemma":[0.002242637,0.002451885,0.04261788,0.0007871487,0.0006047824,0.00001430974,0.7746207,0.00006598582,0.0009330736,0.0146394,0.1604089,0.0006132982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967924,0.01565184,0.000215452,0.01515674,0.000632769,0.0001028086,0.000006917427,0.00001561505,0.0002938583],"genre_scores_gemma":[0.9909084,0.006766369,0.0001022507,0.001316269,0.0008659086,0.000001681346,2.048501e-7,0.000007653097,0.00003127017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09192845,"threshold_uncertainty_score":0.3836677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275075612071557,"score_gpt":0.3817561154051811,"score_spread":0.2890053592844656,"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."}}