{"id":"W3123364968","doi":"10.1111/1467-9396.00289","title":"Trade and Environment: Bargaining Outcomes from Linked Negotiations","year":2001,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Negotiation; Leverage (statistics); Economics; Developing country; Linkage (software); International economics; International trade; Trade barrier; Payment; Multilateral trade negotiations; Economic growth; Finance; Political science","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":[0.003608124,0.0006220666,0.0007764858,0.001657227,0.00123151,0.003856285,0.001001659,0.001548939,0.01394731],"category_scores_gemma":[0.01612592,0.0003261123,0.001067272,0.003278039,0.002239013,0.004953809,0.002666578,0.002140746,0.0006968825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069595,"about_ca_system_score_gemma":0.0008132438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236262,"about_ca_topic_score_gemma":0.002573867,"domain_scores_codex":[0.9983537,0.0009094782,0.00004896719,0.0001778889,0.0003297501,0.0001801922],"domain_scores_gemma":[0.9934987,0.005267997,0.0006125598,0.0002154013,0.000212225,0.000193216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002080813,0.0001935387,0.00332747,0.00007352334,0.00006582023,0.0003237113,0.0004481862,0.7716227,0.000275851,0.2123198,0.0008609278,0.01028033],"study_design_scores_gemma":[0.00007442151,0.00009545573,0.001768595,0.00004626043,0.00003244866,0.00004606962,0.0005995926,0.6091406,0.0005162114,0.3860102,0.001622313,0.0000477604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7682876,0.001166608,0.1228065,0.001205111,0.0001488691,0.0001947711,0.0006509886,0.00009550691,0.1054441],"genre_scores_gemma":[0.9868546,0.0006434608,0.007884031,0.00006662506,0.00002825466,0.00009489164,0.0002888257,0.00003076065,0.004108652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394731,"threshold_uncertainty_score":0.0466584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09237167492430993,"score_gpt":0.268579594743278,"score_spread":0.1762079198189681,"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."}}