{"id":"W1980163560","doi":"10.1007/s00267-006-0233-7","title":"Urban Flood Problems in Dhaka, Bangladesh: Slum Residents’ Choices for Relocation to Flood-Free Areas","year":2007,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; Lakehead University","funders":"","keywords":"Relocation; Flood myth; Incentive; Human settlement; Business; Slum; Floodplain; Geography; Flooding (psychology); Socioeconomics; Environmental planning; Agricultural economics; Economics; Population; Environmental health","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001061624,0.0002303701,0.0002711693,0.0003662651,0.0001106919,0.00005126491,0.0003848255,0.00009081508,0.0005347278],"category_scores_gemma":[0.00001678603,0.0003041209,0.00009473613,0.000137114,0.000043208,0.0002372304,0.0002600612,0.00009128366,0.0014161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007562251,"about_ca_system_score_gemma":0.000002005769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001743701,"about_ca_topic_score_gemma":0.0002042167,"domain_scores_codex":[0.9979432,0.00001189821,0.0007970533,0.0006891485,0.0000878752,0.0004708599],"domain_scores_gemma":[0.9990553,0.00003182409,0.0002361124,0.000551147,0.000001170091,0.0001244903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000512369,0.0004531767,0.9689884,0.00009525562,0.00009818438,0.000004415625,0.0007897205,0.002561013,0.0001178129,0.01712629,0.004968528,0.004745936],"study_design_scores_gemma":[0.001775715,0.0001392756,0.9593856,0.0000310942,0.00001537956,8.417331e-7,0.0005061569,0.000467001,0.0002223462,0.006181924,0.03091447,0.0003602178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527994,0.0009081561,0.01309053,0.0006956554,0.0005181754,0.002651479,0.000137215,0.00004749981,0.02915182],"genre_scores_gemma":[0.9903429,0.0002098917,0.003800662,0.0005140487,0.0001340572,0.0003527421,0.0001799024,0.00004960831,0.004416218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0375434,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831683938170203,"score_gpt":0.2013291151204669,"score_spread":0.1630122757387649,"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."}}