{"id":"W1851118843","doi":"10.1002/soej.12021","title":"Economic impact of unauthorized workers","year":2015,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Citation; Economic impact analysis; Library science; Computer science; Economics","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":[0.0008989521,0.0001160017,0.0002074283,0.0009978676,0.000619026,0.001801435,0.0002589856,0.0007844136,0.01118827],"category_scores_gemma":[0.007241986,0.0001055413,0.00030905,0.001053049,0.0006967192,0.0008748848,0.0009960695,0.001176279,0.0005235838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009832573,"about_ca_system_score_gemma":0.001071444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00758973,"about_ca_topic_score_gemma":0.008996084,"domain_scores_codex":[0.9990158,0.0003494211,0.00004030026,0.00003950759,0.0002125698,0.0003423723],"domain_scores_gemma":[0.9935697,0.002356235,0.002032814,0.000368653,0.0007908999,0.000881712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001994437,0.001891632,0.6970752,0.0001500887,0.0001610948,0.002371104,0.001831623,0.007175129,0.0009007879,0.1864778,0.01651408,0.0834569],"study_design_scores_gemma":[0.0001393602,0.0008165683,0.8736859,0.0002970095,0.0002619107,0.001310501,0.01056415,0.01228226,0.001812738,0.0664449,0.03232899,0.00005554024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380899,0.0009084239,0.0002615168,0.004080404,0.00007268628,0.00001500398,0.0004255584,0.000007881767,0.05613863],"genre_scores_gemma":[0.9940457,0.0002810571,0.00001481609,0.00006663804,0.00003136584,0.000001749704,0.00007582947,0.000001373078,0.005481333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01118827,"threshold_uncertainty_score":0.0374285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0602548248094859,"score_gpt":0.2750576245643527,"score_spread":0.2148027997548668,"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."}}