{"id":"W2744571020","doi":"10.1007/978-3-319-57801-9","title":"Adaptive Governance of Disaster","year":2017,"lang":"en","type":"book","venue":"Water governance - concepts, methods, and practice","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Corporate governance; Climate change; Environmental planning; Environmental resource management; Natural disaster; Agriculture; Disaster area; Connection (principal bundle); Business; Geography; Political science; Environmental science; Engineering; Ecology; Meteorology; Archaeology","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":[0.0005650594,0.0003449931,0.0001884726,0.0004057579,0.0007146349,0.003035424,0.0005844463,0.000796116,0.008449289],"category_scores_gemma":[0.001461269,0.0001524978,0.0001908829,0.0006886005,0.00401112,0.00236324,0.002239731,0.001208029,0.0007591618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577984,"about_ca_system_score_gemma":0.001602846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613587,"about_ca_topic_score_gemma":0.002127192,"domain_scores_codex":[0.9997284,0.00009598443,0.000009276953,0.0000570876,0.00006379926,0.00004548388],"domain_scores_gemma":[0.999745,0.00007217274,0.00003416786,0.00007700257,0.00003231856,0.00003935128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004668995,0.000007419,0.000227423,0.00005840255,0.00000754367,0.00003007938,0.0009024395,0.004458834,0.0002167745,0.9225532,0.02768444,0.04384885],"study_design_scores_gemma":[0.000002400356,0.000006799708,0.000614101,0.00009461267,0.000002917958,0.00002762215,0.0006396328,0.001398307,0.0001014296,0.7448215,0.2522859,0.000004683669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01597219,0.0203295,0.06046902,0.02510255,0.001402587,0.00007107814,0.000188911,0.0002072114,0.8762571],"genre_scores_gemma":[0.7750396,0.02243672,0.009539633,0.002432481,0.001606569,0.0001816227,0.0002748354,0.0001178615,0.1883706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008449289,"threshold_uncertainty_score":0.02826566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950367465213502,"score_gpt":0.3342198798932308,"score_spread":0.2947162052410958,"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."}}