{"id":"W2081629587","doi":"10.1007/s10726-008-9145-7","title":"Advances in Drama Theory for Managing Global Hazards and Disasters. Part I: Theoretical Foundation","year":2009,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Military Strategy and Technology","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Game theory; Negotiation; Context (archaeology); Conflict resolution; Drama; Construct (python library); Emergency management; Risk management; Natural disaster; Risk analysis (engineering); Decision analysis; Computer science; Management science; Operations research; Economics; Sociology; Political science; Business; Engineering; Microeconomics; Management; Geography; Law; Social science; Mathematical economics","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":[0.002226362,0.0007536247,0.00078549,0.001707106,0.002096191,0.005222288,0.002357935,0.00315217,0.01366887],"category_scores_gemma":[0.003764496,0.0003854647,0.0007564058,0.001512867,0.009772933,0.00698221,0.002641768,0.003303757,0.001487175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538116,"about_ca_system_score_gemma":0.001964909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975411,"about_ca_topic_score_gemma":0.001269603,"domain_scores_codex":[0.9986167,0.0006579012,0.0000595459,0.0001669318,0.0003182264,0.0001806911],"domain_scores_gemma":[0.9980805,0.00135726,0.0001821117,0.0001433161,0.000134514,0.0001021523],"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":[0.000003388477,0.00001755388,0.0000806699,0.00007757223,0.000004799423,0.00002023996,0.0004186849,0.001607536,0.00004356789,0.9910359,0.001348064,0.005341857],"study_design_scores_gemma":[0.00001289353,0.00002098583,0.0001979089,0.0001337831,0.000008381402,0.00006158264,0.000967343,0.008733517,0.00009824645,0.939248,0.05050455,0.00001284079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02141637,0.04616985,0.306852,0.04045638,0.001647138,0.0002160786,0.0001701774,0.0001204673,0.5829517],"genre_scores_gemma":[0.88981,0.02505433,0.0535769,0.002158682,0.001831847,0.0005379542,0.0001619227,0.00008664026,0.02678172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366887,"threshold_uncertainty_score":0.0457269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00415879131724817,"score_gpt":0.2377873663388279,"score_spread":0.2336285750215797,"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."}}