{"id":"W4394996504","doi":"10.2139/ssrn.4800692","title":"Nash Equilibria in Greenhouse Gas Offset Credit Markets","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Offset (computer science); Monetary economics; Economics; Nash equilibrium; Natural resource economics; Business; Environmental science; Microeconomics; Computer science; Geology","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":[0.002017582,0.0008472956,0.001783222,0.0009797576,0.001499087,0.004699485,0.001702808,0.003876925,0.02646407],"category_scores_gemma":[0.01364952,0.000718141,0.0007755133,0.001017023,0.002792374,0.005855363,0.002399776,0.00267933,0.001115498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395024,"about_ca_system_score_gemma":0.001760386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005257235,"about_ca_topic_score_gemma":0.004663409,"domain_scores_codex":[0.9990698,0.0004634581,0.00003385407,0.0001143208,0.0001582464,0.0001603994],"domain_scores_gemma":[0.9934796,0.005045288,0.0005199149,0.000199358,0.0003295144,0.0004263282],"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":[0.0001105944,0.0000464595,0.0002911052,0.00006125412,0.00001865871,0.0001176813,0.0001026683,0.03604695,0.0002529673,0.9575678,0.00260645,0.002777427],"study_design_scores_gemma":[0.0001310822,0.00001672118,0.0001175182,0.00001743739,0.000008450937,0.00003010872,0.00008030025,0.09633931,0.0000846387,0.9022359,0.0009248877,0.00001358914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.413754,0.001891801,0.2628834,0.01028666,0.0003533192,0.0002825942,0.0007792644,0.0004307366,0.3093383],"genre_scores_gemma":[0.9557661,0.0006891911,0.007450974,0.0003954662,0.0001272885,0.0001545322,0.000114095,0.0000549508,0.03524759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646407,"threshold_uncertainty_score":0.08853114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490263979644456,"score_gpt":0.2456215946170263,"score_spread":0.2107189548205818,"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."}}