{"id":"W6991550255","doi":"","title":"Hurricanes Katrina and Rita: Unprecedented Challenges Exposed the Individuals and Households Program to Fraud and Abuse; Actions Needed to Reduce Such Problems in Future","year":2011,"lang":"en","type":"other","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Emergency Management Agency; McGill University; U.S. Department of Homeland Security","keywords":"Hurricane katrina; Government (linguistics); Vulnerability (computing); Accountability; Emergency management; Natural disaster; Local government","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":[0.0008934265,0.0005602086,0.0003959911,0.00119539,0.003628897,0.003555074,0.0006259839,0.002514339,0.1021645],"category_scores_gemma":[0.00202408,0.0002334328,0.0003282818,0.001827551,0.0006489184,0.001122414,0.002046198,0.001817584,0.03194328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458924,"about_ca_system_score_gemma":0.01052705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08252997,"about_ca_topic_score_gemma":0.1695708,"domain_scores_codex":[0.9993439,0.00007758175,0.00002687469,0.0000338756,0.0003689455,0.0001487417],"domain_scores_gemma":[0.9988517,0.0001431471,0.00009488717,0.00007916953,0.0005765033,0.0002545308],"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":[0.00001593369,0.0000449045,0.001078872,0.00009037343,0.000004151599,0.0000746106,0.0002371946,0.00008595306,0.0001677799,0.002551975,0.9636787,0.0319696],"study_design_scores_gemma":[0.0000130916,0.00003257411,0.007462327,0.0001355853,0.00001016816,0.00005451943,0.002087028,0.0001125071,0.0003688107,0.001023173,0.9886836,0.00001652508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008841434,0.00238636,0.0006151568,0.07617684,0.002181842,0.0003631371,0.01009468,0.001670262,0.8976703],"genre_scores_gemma":[0.05918806,0.01272955,0.002921387,0.01175906,0.0008118583,0.0003613858,0.006837204,0.000526367,0.9048652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1021645,"threshold_uncertainty_score":0.3417744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430268364020569,"score_gpt":0.2123670808181974,"score_spread":0.1880643971779917,"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."}}