{"id":"W4412273986","doi":"","title":"Disaster Resilience and Complex Adaptive Systems Theory- Finding Common Grounds for Risk Reduction","year":2016,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Reduction (mathematics); Disaster risk reduction; Resilience (materials science); Risk analysis (engineering); Complex adaptive system; Computer science; Geography; Business; Environmental planning; Mathematics; Artificial intelligence; Physics","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01077739,0.0002103892,0.0006680117,0.0004465122,0.00261743,0.0001311407,0.002099352,0.0001357997,0.05001856],"category_scores_gemma":[0.0009176749,0.0001552039,0.0002549645,0.001064742,0.001788554,0.0009417307,0.001577399,0.0002209015,0.007420383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920606,"about_ca_system_score_gemma":0.0001633113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042337,"about_ca_topic_score_gemma":0.0007841181,"domain_scores_codex":[0.9934908,0.00282615,0.000439455,0.0007895824,0.001917263,0.0005367259],"domain_scores_gemma":[0.9885044,0.008135016,0.0007382471,0.001108596,0.001259836,0.000253948],"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":[0.003147824,0.0000635685,0.00005897134,0.00003631106,0.0001223641,0.0000243692,0.004966429,0.0001632116,0.008508729,0.01270794,0.9465299,0.02367041],"study_design_scores_gemma":[0.003251964,0.0009493646,0.02960567,0.0003755813,0.0001144527,0.00004966557,0.1192879,0.005253789,0.0003895165,0.003773731,0.8365058,0.0004425336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7264988,0.003714113,0.2032519,0.0005818366,0.0002836145,0.002068345,0.0004102557,0.00003972702,0.06315135],"genre_scores_gemma":[0.6887813,0.00006087779,0.0005454359,0.000002969959,0.00002452608,2.769232e-7,0.000002395829,0.00001015927,0.310572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474207,"threshold_uncertainty_score":0.998681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2393118559627535,"score_gpt":0.3893249740068837,"score_spread":0.1500131180441301,"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."}}