{"id":"W7010409703","doi":"","title":"Immigration Benefits: Improvements Needed to Address Backlogs and Ensure Quality of Adjudications","year":2005,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Adjudication; Immigration; Mandate; Accountability; Quality (philosophy); Government (linguistics); Consistency (knowledge bases)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002156638,0.000477947,0.001028014,0.0009264513,0.0003234602,0.0001081945,0.00110241,0.0003784766,0.0004377702],"category_scores_gemma":[0.00009334434,0.0006377003,0.0003679728,0.001269939,0.000546817,0.005498403,0.001477879,0.0004236539,0.0000731504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007514338,"about_ca_system_score_gemma":0.000510444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333214,"about_ca_topic_score_gemma":0.01538315,"domain_scores_codex":[0.9972988,0.00002938051,0.0005678101,0.0007165276,0.001003578,0.0003838588],"domain_scores_gemma":[0.996181,0.0001210568,0.001765898,0.0006726349,0.001151045,0.0001084267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002927123,0.0003720369,0.9568211,0.001567554,0.0003030531,0.00001511549,0.00005172325,0.0001468452,5.775848e-7,0.0008160428,0.01377223,0.02584103],"study_design_scores_gemma":[0.0007413832,0.00004935466,0.8438987,0.0002802882,0.0002775157,0.000001368363,0.0001589906,0.00004196124,0.000002934496,0.00004429076,0.1540095,0.0004937269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605533,0.0002036591,0.0001947772,0.001358889,0.0001989066,0.0007379301,0.003808188,0.000149229,0.03279515],"genre_scores_gemma":[0.9848478,0.0008737143,0.0004629589,0.0002343039,0.0002427593,1.013014e-7,0.004906243,0.00005524183,0.008376913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402372,"threshold_uncertainty_score":0.9996074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934878084664938,"score_gpt":0.2122875973984882,"score_spread":0.1829388165518388,"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."}}