{"id":"W2075416390","doi":"10.1007/s10726-010-9195-5","title":"Formal Analysis of Multilateral Negotiations Over the Legal Status of the Caspian Sea","year":2010,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Negotiation; Tragedy of the commons; Outcome (game theory); United Nations Convention on the Law of the Sea; Political science; International trade; Business; Economics; Commons; Law; International law; Microeconomics","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":[0.003743617,0.0005945873,0.0007024074,0.001404864,0.001769614,0.00482025,0.001777845,0.001396964,0.008600125],"category_scores_gemma":[0.01335252,0.0004715853,0.001249876,0.001078044,0.004463154,0.004253333,0.002155666,0.002562646,0.0003974404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00443599,"about_ca_system_score_gemma":0.004184109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969123,"about_ca_topic_score_gemma":0.01301076,"domain_scores_codex":[0.9981002,0.0008913506,0.0001060148,0.0001607653,0.0004190592,0.000322575],"domain_scores_gemma":[0.9923269,0.005538973,0.0006816842,0.0004314141,0.0007892072,0.0002316601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000316732,0.00004489955,0.0003430539,0.00003709037,0.00002140955,0.0001536592,0.0004245169,0.05096136,0.0002774587,0.943017,0.0006002403,0.004087625],"study_design_scores_gemma":[0.00002445444,0.00001081377,0.0002062947,0.00002234049,0.00001593186,0.00002719829,0.0002099002,0.1344178,0.0002350242,0.8629401,0.001877853,0.00001233549],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3073413,0.001586725,0.5889164,0.007653109,0.0002848828,0.0002215596,0.0005785636,0.0002749974,0.09314236],"genre_scores_gemma":[0.9686725,0.0003010445,0.0256548,0.0001474939,0.0001080244,0.00009002511,0.0001997209,0.0000462161,0.004780192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969123,"threshold_uncertainty_score":0.03915322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683219450918549,"score_gpt":0.3578468862963918,"score_spread":0.3110146917872063,"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."}}