{"id":"W1975201707","doi":"10.1111/j.1475-3995.2008.00678.x","title":"Stability of international environmental agreements: an illustration with asymmetrical countries","year":2009,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Merge (version control); Welfare; Stock (firearms); Stability (learning theory); Computer science; Economics; Operations research; Mathematics; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085069,0.0001103952,0.0001784406,0.0007174653,0.000121158,0.0001161635,0.0003663306,0.00008747188,0.006254255],"category_scores_gemma":[0.00007507714,0.000123258,0.00005068902,0.0002430288,0.0001768487,0.0009914159,0.00001212786,0.0002788786,0.0001072467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166465,"about_ca_system_score_gemma":0.00006119647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003523466,"about_ca_topic_score_gemma":0.0004084636,"domain_scores_codex":[0.9984671,0.00003981611,0.00062831,0.000366625,0.0002710314,0.0002270816],"domain_scores_gemma":[0.9993835,0.0001282251,0.0001015558,0.0001873455,0.0001284144,0.00007097299],"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":[0.001322271,0.004679411,0.2777975,0.00002548608,0.0002759708,0.00001494564,0.004720891,0.01188427,0.001374476,0.6898438,0.0001705061,0.007890403],"study_design_scores_gemma":[0.007220646,0.002143365,0.7183012,0.000111312,0.00001328804,0.00007219267,0.005342251,0.1425229,0.008742333,0.05216615,0.06215164,0.001212803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237622,0.0001454248,0.02351153,0.01069751,0.0005512042,0.0004965636,0.00197921,0.00002271808,0.03883363],"genre_scores_gemma":[0.9971851,0.0003718108,0.00142329,0.0001902223,0.0001316537,0.00004291487,0.0002815146,0.000009492031,0.0003640121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6376777,"threshold_uncertainty_score":0.9946542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990514950822164,"score_gpt":0.3653814082712278,"score_spread":0.1663299131890114,"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."}}