{"id":"W2896658005","doi":"10.5751/es-10447-230402","title":"Value-based scenario planning: exploring multifaceted values in natural disaster planning and management","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Parks Victoria; Department of Environment, Land, Water and Planning, State Government of Victoria","keywords":"Value (mathematics); Natural disaster; Scenario planning; Environmental resource management; Emergency management; Disaster planning; Ecological planning; Natural (archaeology); Environmental planning; Geography; Computer science; Business; Political science; Environmental science; Poison control; Human factors and ergonomics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005239155,0.0001061226,0.0001322647,0.00004869258,0.0006659235,0.00007650042,0.000128093,0.00008647708,0.00002302662],"category_scores_gemma":[0.00002280426,0.00009716986,0.0000356369,0.0001452084,0.00079822,0.0002481175,0.0001227192,0.0001325685,0.000006506417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336429,"about_ca_system_score_gemma":0.00001709423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006611293,"about_ca_topic_score_gemma":0.0001330127,"domain_scores_codex":[0.9989775,0.0001122144,0.0001301457,0.0002866792,0.0001337079,0.0003597302],"domain_scores_gemma":[0.9996932,0.0001061799,0.00004297822,0.00007974578,0.00001620095,0.00006166691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004916528,0.00007613836,0.7243994,0.00007998967,0.00007193325,0.00002701828,0.2649432,0.0001617354,0.00004553741,0.004881982,0.00223549,0.00302831],"study_design_scores_gemma":[0.0009244847,0.00007098438,0.8929717,0.00009033497,0.00002279414,3.419036e-7,0.09403804,0.003979639,0.00001608618,0.0005784458,0.007103727,0.0002034342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888697,0.0002218808,0.00009017775,0.0005838776,0.0004796044,0.0002301662,4.116902e-7,0.00004860426,0.009475633],"genre_scores_gemma":[0.9963215,0.00007079436,0.001214823,0.0006277169,0.0001177424,0.00002600039,0.00000195153,0.000005823739,0.00161364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1709052,"threshold_uncertainty_score":0.5121812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006734662164156,"score_gpt":0.3131754716333428,"score_spread":0.2731081250117012,"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."}}