{"id":"W2488516526","doi":"10.4018/978-1-60566-026-4.ch127","title":"Creating Order from Chaos","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural disaster; Order (exchange); Flooding (psychology); CHAOS (operating system); Emergency management; Theme (computing); Crisis management; Geography; History; Scale (ratio); Development economics; Political science; Economy; Business; Computer science; Cartography; Economics; Computer security; Meteorology; Psychology; Law; Finance","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":[0.001545575,0.0006456859,0.000417536,0.001227359,0.00353481,0.01002796,0.0008834701,0.001692685,0.01035055],"category_scores_gemma":[0.002858694,0.0002902862,0.0005769561,0.0009743395,0.02216095,0.01049552,0.005116649,0.003212802,0.00214177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003567992,"about_ca_system_score_gemma":0.003428481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985121,"about_ca_topic_score_gemma":0.002959148,"domain_scores_codex":[0.9990498,0.0004710469,0.00003428543,0.0001353637,0.0001946208,0.000114879],"domain_scores_gemma":[0.9987844,0.000629719,0.00008092783,0.0002491357,0.0001096686,0.0001461773],"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":[0.000002465838,0.000002800007,0.00003797947,0.00002842023,0.000001814232,0.00002215898,0.001294355,0.0004568544,0.00004102637,0.989474,0.003574404,0.005063604],"study_design_scores_gemma":[0.000004077474,0.000005516938,0.00004366415,0.00005997813,0.00000145622,0.000027677,0.0006629663,0.0005535967,0.000060305,0.8836671,0.1149091,0.000004541794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01016266,0.009204561,0.09706514,0.02886645,0.001235016,0.0001113186,0.0001983441,0.0003363034,0.8528203],"genre_scores_gemma":[0.7485473,0.01907322,0.07288073,0.004677556,0.0012918,0.0005156672,0.0004471188,0.0004262188,0.1521404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01035055,"threshold_uncertainty_score":0.03462607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164717324652449,"score_gpt":0.2398296906596943,"score_spread":0.2181825174131698,"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."}}