{"id":"W4386714934","doi":"10.21203/rs.3.rs-3313717/v1","title":"After the Flood: How Presidential Disaster Declarations Affect Long-Term Well-Being and Recovery for Homeowners","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Declaration; Presidential system; Flood myth; Debt; Consumption (sociology); Socioeconomic status; Business; Political science; Economics; Geography; Finance; Environmental health; Sociology; Medicine; Population; Law","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003201726,0.000222019,0.0002372019,0.0003484566,0.001415274,0.002629694,0.0008933308,0.0002591866,0.0001265757],"category_scores_gemma":[0.0006897582,0.0001598095,0.000219666,0.000422782,0.0008865277,0.0004098902,0.001675704,0.0006545191,0.00008266153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299797,"about_ca_system_score_gemma":0.0002703853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000471998,"about_ca_topic_score_gemma":0.01260241,"domain_scores_codex":[0.9958351,0.001022372,0.0001973282,0.0007282314,0.001339542,0.0008773927],"domain_scores_gemma":[0.9977064,0.001209298,0.0000813975,0.0005877144,0.0002363945,0.0001787563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002118192,0.0006665253,0.3963485,0.01432822,0.00178129,0.0004432083,0.2391188,0.0009106624,0.0001723509,0.02268733,0.2262861,0.0951388],"study_design_scores_gemma":[0.001503809,0.0005961734,0.8185104,0.004237173,0.0003986096,0.000002449309,0.07118409,0.0008606612,0.00008496883,0.05932604,0.04152477,0.001770841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497115,0.00113873,0.003352232,0.02166221,0.002120282,0.007711848,0.00009594665,0.0002168488,0.01399038],"genre_scores_gemma":[0.9264126,0.001361767,0.00006005956,0.0000396252,0.001074123,0.001526063,0.00005985008,0.00004284077,0.0694231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221619,"threshold_uncertainty_score":0.9998847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07287635463501038,"score_gpt":0.4128482033018392,"score_spread":0.3399718486668288,"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."}}