{"id":"W2599337092","doi":"","title":"Buying Cooperation in an Asymmetric Environmental Differential Game","year":2009,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Differential game; Stochastic game; Damages; Nash equilibrium; Differential (mechanical device); Non-cooperative game; Bargaining problem; Mathematical economics; Economics; Dividend; Microeconomics; Game theory; Mathematics; Mathematical optimization; Engineering; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0001622937,0.0001526525,0.000281142,0.0004038151,0.0001135919,0.0001084273,0.000149641,0.0001595488,0.0003456327],"category_scores_gemma":[0.00002748347,0.0001966805,0.00006790267,0.0001613353,0.00005191136,0.0003615127,0.00001693356,0.0001981417,0.0002582677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332618,"about_ca_system_score_gemma":0.000003807057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143296,"about_ca_topic_score_gemma":0.00006699532,"domain_scores_codex":[0.9988778,0.00001499892,0.000432746,0.0003443862,0.00002038936,0.0003097435],"domain_scores_gemma":[0.9995437,0.00002372294,0.0001364684,0.0002046508,0.000002659221,0.00008884342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001140362,0.0008597232,0.2144706,0.00002427644,0.00003806071,0.00002681874,0.009976546,0.0005385401,0.001485794,0.7375496,0.0002455775,0.03467046],"study_design_scores_gemma":[0.004001879,0.0005965929,0.8512588,0.00001870581,0.00001545587,0.00002919309,0.0008438634,0.04542626,0.0008839675,0.08324321,0.01218385,0.001498187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941156,0.0003701565,0.001254796,0.000548745,0.0002394596,0.0001333274,0.0001023603,0.00003055542,0.003205005],"genre_scores_gemma":[0.9978186,0.0005061628,0.0002881795,0.000782411,0.0002702902,0.000009572079,0.0001321425,0.00001767134,0.0001749697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6543064,"threshold_uncertainty_score":0.8020397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033766873751957,"score_gpt":0.2151499575270949,"score_spread":0.1813830837751379,"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."}}