{"id":"W4237296122","doi":"10.3763/ehaz.2001.0316","title":"The intergovernmental panel on natural disasters (IPND)","year":2001,"lang":"en","type":"article","venue":"Environmental Hazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Toronto","funders":"","keywords":"Natural disaster; Natural hazard; Environmental planning; Natural (archaeology); Environmental resource management; Business; Political science; Environmental science; Geography; Meteorology","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":[0.02919513,0.004355923,0.003238857,0.00673207,0.003838159,0.007523007,0.007502861,0.02246479,0.01245251],"category_scores_gemma":[0.03464389,0.001949396,0.003953738,0.01105897,0.002748151,0.003503184,0.006575733,0.01411645,0.005752766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007530448,"about_ca_system_score_gemma":0.04825964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1134598,"about_ca_topic_score_gemma":0.08609135,"domain_scores_codex":[0.9847254,0.001891547,0.002444139,0.0008597412,0.007728596,0.00235056],"domain_scores_gemma":[0.969635,0.007351339,0.00305115,0.003442688,0.01357307,0.002946738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003186371,0.0001794301,0.004176589,0.001591207,0.0001700285,0.0002967276,0.0004614916,0.001493507,0.001234244,0.0103606,0.9417855,0.03793203],"study_design_scores_gemma":[0.00008792296,0.00003676213,0.01482756,0.001815378,0.0002159272,0.0000837226,0.0003118983,0.0003552941,0.001046763,0.003477003,0.977656,0.00008580928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01330571,0.03716692,0.01784031,0.2316355,0.1904658,0.00952026,0.2652645,0.002529289,0.2322717],"genre_scores_gemma":[0.09028062,0.07265866,0.07086621,0.15469,0.03239985,0.03129733,0.203647,0.002984019,0.3411764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1134598,"threshold_uncertainty_score":0.2255987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106267775888797,"score_gpt":0.2478238044348681,"score_spread":0.2367611266759801,"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."}}