{"id":"W2394969076","doi":"10.1109/irec.2016.7478865","title":"The impact of signatories' leadership in environmental agreements","year":2016,"lang":"en","type":"article","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Royal Military College of Canada","funders":"","keywords":"Stackelberg competition; Welfare; Game theory; Nash equilibrium; Business; Computer science; International trade; Industrial organization; Microeconomics; Economics; Market economy","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":[0.00654233,0.0003534816,0.0007074478,0.0005573369,0.001804583,0.003225639,0.0009008492,0.00187721,0.008935547],"category_scores_gemma":[0.03243316,0.0002503371,0.0005371292,0.0006020273,0.002660189,0.003123732,0.002523307,0.00186015,0.0005235695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725337,"about_ca_system_score_gemma":0.001860131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004410004,"about_ca_topic_score_gemma":0.003695273,"domain_scores_codex":[0.995662,0.002391954,0.0001008298,0.0002525431,0.0004107914,0.001181821],"domain_scores_gemma":[0.9664334,0.02267196,0.005694918,0.001204491,0.001571919,0.002423283],"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":[0.001479534,0.001027908,0.04934124,0.0004080808,0.0002455908,0.002519113,0.002770129,0.2963431,0.007089988,0.5814261,0.00413579,0.05321337],"study_design_scores_gemma":[0.0007479593,0.002563075,0.03866013,0.0001377336,0.0002844995,0.0005426077,0.01005208,0.3534616,0.005565631,0.5797545,0.008029427,0.0002007638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383183,0.0002845173,0.01665904,0.00214601,0.00005854617,0.00005185563,0.0000730356,0.00005641612,0.04235222],"genre_scores_gemma":[0.9985182,0.00006048127,0.0004159962,0.00004732385,0.000009034146,0.000009247521,0.00000745966,0.000003713356,0.0009285751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008935547,"threshold_uncertainty_score":0.03459954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2439499879609951,"score_gpt":0.260700256374852,"score_spread":0.01675026841385688,"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."}}