{"id":"W4408040478","doi":"10.1108/ijdrbe-08-2024-0098","title":"The current insurance practices employed to manage flood risk in the global built environment and their applicability to Sri Lanka","year":2025,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sri lanka; Built environment; Flood myth; Business; Flood risk management; Environmental planning; Civil engineering; Forensic engineering; Environmental resource management; Risk analysis (engineering); Construction engineering; Engineering; Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002218013,0.0002913039,0.0002264899,0.001720269,0.001946514,0.003648823,0.0007173393,0.0004019226,0.002242983],"category_scores_gemma":[0.005025268,0.0002177465,0.0003062942,0.002278517,0.002702051,0.001665302,0.003205287,0.0007177767,0.0001951491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910509,"about_ca_system_score_gemma":0.006411326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02590178,"about_ca_topic_score_gemma":0.0450497,"domain_scores_codex":[0.997857,0.0007294182,0.0002594078,0.0002012553,0.0004851953,0.000467647],"domain_scores_gemma":[0.9975646,0.0008083651,0.0007833994,0.000199224,0.0004267348,0.0002177718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000659545,0.00009844028,0.3295601,0.002676118,0.0001225892,0.003213057,0.4098967,0.0004967444,0.003091927,0.01139023,0.002789514,0.2365986],"study_design_scores_gemma":[0.000005632919,0.0001438837,0.3085533,0.002433632,0.0001002579,0.001540574,0.6385933,0.0002524815,0.000558563,0.001449475,0.04631784,0.00005123944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585893,0.007952112,0.000762779,0.003250651,0.00004269946,0.00006574057,0.0001529459,0.00002253041,0.02916111],"genre_scores_gemma":[0.9912456,0.00649849,0.0008866496,0.0002159758,0.00001093061,0.00003286923,0.00005637893,0.000005026212,0.001048026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590178,"threshold_uncertainty_score":0.05150199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120056076099541,"score_gpt":0.3088912780141257,"score_spread":0.2976907172531303,"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."}}