{"id":"W7024006242","doi":"","title":"Quantifying the Impacts of Flash Flooding on Dominica’s Material Stocks in Buildings: A GIS-based methodological framework for Small Island States","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drive & Gear (Canada)","funders":"","keywords":"Flash flood; Hazard; Context (archaeology); Flood myth; Flooding (psychology); Vulnerability (computing); Natural resource; Natural hazard","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":[],"consensus_categories":[],"category_scores_codex":[0.0008288494,0.0002786452,0.0007437252,0.0004201717,0.0001322634,0.00003094961,0.0004370655,0.0004823053,0.00007109288],"category_scores_gemma":[0.0002985373,0.0002353408,0.0003174631,0.000383095,0.000092073,0.00007131114,0.00003129741,0.0004386876,0.000003877043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009103613,"about_ca_system_score_gemma":0.00004972788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005193077,"about_ca_topic_score_gemma":0.0619706,"domain_scores_codex":[0.9986546,0.0001617402,0.0002865608,0.000323938,0.000216699,0.0003564554],"domain_scores_gemma":[0.9980839,0.001232722,0.0002243443,0.0003138592,0.00009234989,0.00005275193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.004254603,0.0001278866,0.002998685,0.005471055,0.0008839585,0.00003568713,0.1468395,0.7890483,0.04287523,0.0008264428,0.0006225902,0.006015982],"study_design_scores_gemma":[0.005306427,0.001904039,0.04192976,0.007072764,0.002091079,0.000002799741,0.5355343,0.1717173,0.2179776,0.01361307,0.000249383,0.002601485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995554,0.00002725106,0.003256087,0.0001377048,0.0003701785,0.0004180335,0.0001540496,0.00006814101,0.00001458787],"genre_scores_gemma":[0.9728671,0.0001305127,0.02530775,0.00001125487,0.00007018248,0.000004554529,0.0004538446,0.00005233086,0.00110245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.617331,"threshold_uncertainty_score":0.9596921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360714353397434,"score_gpt":0.2899806427884348,"score_spread":0.2463734992544604,"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."}}