{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007785941,0.0001787144,0.0005431742,0.0002179642,0.00009188997,0.00008780386,0.0003077637,0.00007277599,0.001817986],"category_scores_gemma":[0.00004865488,0.0001810545,0.0003926462,0.00004685559,0.00009001693,0.0002278276,0.00005282049,0.0001918847,0.00687463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072485,"about_ca_system_score_gemma":0.0002866765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00064549,"about_ca_topic_score_gemma":0.00006445879,"domain_scores_codex":[0.9985161,0.00002261006,0.0008946409,0.0002345696,0.00002268537,0.0003093703],"domain_scores_gemma":[0.9983344,0.00002599526,0.00113911,0.0002444769,0.00002974455,0.0002262485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001668114,0.0000367996,0.9548371,0.000004986817,0.0005815697,0.000003458829,0.003426668,0.0122408,0.000005824198,0.01512376,0.01235063,0.001221562],"study_design_scores_gemma":[0.01590044,0.001267931,0.3193907,0.0001104771,0.00007643688,0.0004479698,0.02496421,0.008924837,0.00005824236,0.5526465,0.07389653,0.002315725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524925,0.001329827,0.0009051919,0.0002653599,0.001551113,0.00009542741,0.0002809822,0.00002577303,0.04305388],"genre_scores_gemma":[0.9972065,0.00006559181,0.0003960441,0.00002667946,0.0004211445,0.000004322617,0.000003364315,0.00002965375,0.001846687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6354465,"threshold_uncertainty_score":0.9990945,"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."}}