{"id":"W2050923309","doi":"10.1108/17595901211245198","title":"Ranking of natural disasters in Sri Lanka for mitigation planning","year":2012,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural disaster; Sri lanka; Ranking (information retrieval); Emergency management; Categorization; Product (mathematics); Geography; Computer science; Environmental resource management; Environmental planning; Operations research; Engineering; Mathematics; Environmental science; Artificial intelligence; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003582819,0.00118934,0.0007353114,0.006441358,0.001513542,0.003793017,0.000731942,0.0004069205,0.005835132],"category_scores_gemma":[0.008657595,0.000302232,0.0007064945,0.004241046,0.0008304957,0.001508337,0.001811653,0.0006801954,0.0009059289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00287593,"about_ca_system_score_gemma":0.004472645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009418668,"about_ca_topic_score_gemma":0.02232459,"domain_scores_codex":[0.9957901,0.001896376,0.0004867863,0.0002376319,0.001209127,0.0003800092],"domain_scores_gemma":[0.9952009,0.001361814,0.0007861147,0.0002955152,0.002015664,0.0003400136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008371843,0.0003104653,0.2226593,0.004095876,0.0006721636,0.001380696,0.01001815,0.05724968,0.01533803,0.02847968,0.01972987,0.639229],"study_design_scores_gemma":[0.0001131711,0.002210753,0.5863247,0.002710497,0.0005835178,0.001420566,0.1603768,0.094191,0.01708032,0.03067694,0.1036218,0.000689943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7867029,0.002390626,0.1120937,0.002240545,0.0001945887,0.003180359,0.003880806,0.0006686383,0.08864783],"genre_scores_gemma":[0.9168252,0.0007619977,0.07694669,0.00007370277,0.00002765296,0.0005703945,0.001637385,0.00003630291,0.003120695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009418668,"threshold_uncertainty_score":0.02086639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248941442291446,"score_gpt":0.2812254173995001,"score_spread":0.2563312731703555,"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."}}