{"id":"W7015581943","doi":"","title":"Troubled Asset Relief Program: More Efforts Needed on Fair Lending Controls and Access for Non-English Speakers in Housing Programs","year":2014,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rural Housing Service; York University; U.S. Department of Veterans Affairs; U.S. Department of the Treasury; U.S. Department of Housing and Urban Development; U.S. Department of Agriculture; U.S. Department of Justice","keywords":"Accountability; Government (linguistics); Asset (computer security); Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01146573,0.0005026282,0.0005986776,0.001268006,0.005331527,0.005041545,0.002758774,0.005413877,0.02391206],"category_scores_gemma":[0.03174882,0.0003807988,0.0004909292,0.0009251165,0.0018308,0.006519184,0.005563294,0.00619649,0.001527077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005374543,"about_ca_system_score_gemma":0.0745043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06549133,"about_ca_topic_score_gemma":0.1540607,"domain_scores_codex":[0.9919338,0.002136235,0.0003478822,0.0003279479,0.002583641,0.002670483],"domain_scores_gemma":[0.9744651,0.0056728,0.001310294,0.001248098,0.006814329,0.01048923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001802134,0.002452106,0.02796591,0.0005262563,0.00003317989,0.0005474567,0.006164897,0.0006280711,0.001181166,0.05471021,0.7522379,0.1533728],"study_design_scores_gemma":[0.0006530252,0.0009842945,0.2024906,0.003163586,0.0001440546,0.0004375014,0.04287571,0.002419554,0.003063432,0.02349284,0.7200525,0.000222779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1115806,0.003090346,0.004987211,0.70469,0.00305224,0.003470933,0.003864189,0.0008318727,0.1644326],"genre_scores_gemma":[0.5655568,0.004460289,0.02534479,0.2715411,0.001621848,0.005253641,0.004659573,0.0003812488,0.1211807],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06549133,"threshold_uncertainty_score":0.1302202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158136395610745,"score_gpt":0.2531452942688903,"score_spread":0.2215639303127829,"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."}}