{"id":"W2767435220","doi":"10.4018/978-1-4666-2788-8.ch010","title":"Knowledge-Based Issues for Aid Agencies in Crisis Scenarios","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Natural disaster; Political science; Crisis management; Public relations; Emergency management; Business; Knowledge management; Geography; Computer 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":[0.001410868,0.0005414173,0.0003098256,0.001631313,0.003181402,0.01030364,0.001226335,0.002835066,0.01120621],"category_scores_gemma":[0.002651252,0.0001922451,0.0002932104,0.003169067,0.004088905,0.009544418,0.003129597,0.002539671,0.001359086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003914954,"about_ca_system_score_gemma":0.003860676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001769458,"about_ca_topic_score_gemma":0.003767659,"domain_scores_codex":[0.9993005,0.0003680631,0.00003803522,0.00004423124,0.0001690123,0.00008015786],"domain_scores_gemma":[0.9985482,0.001048681,0.00009756678,0.00006945825,0.0001282804,0.00010764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002636658,0.0002032571,0.001122882,0.001062524,0.00001172508,0.001196324,0.03354314,0.002373321,0.0007931464,0.6403875,0.06322776,0.2560519],"study_design_scores_gemma":[0.00000561573,0.00003650653,0.001998787,0.001364611,0.00000917231,0.0007257556,0.06060565,0.001410392,0.0003653476,0.2551188,0.6783416,0.00001774934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03515853,0.03458808,0.02847597,0.04348564,0.0009005813,0.0003781566,0.0002673853,0.0001747486,0.8565708],"genre_scores_gemma":[0.6612297,0.05904876,0.04991701,0.004347991,0.001190688,0.0004425784,0.0007698972,0.0001126663,0.2229406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01120621,"threshold_uncertainty_score":0.03748852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542694709741053,"score_gpt":0.3141830224331533,"score_spread":0.2787560753357428,"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."}}