{"id":"W2606272886","doi":"10.1111/nejo.12177","title":"Precedents in Negotiated Decisions: Korea–Australia Free Trade Agreement Negotiations","year":2017,"lang":"en","type":"article","venue":"Negotiation Journal","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Free trade agreement; Political science; International trade; Philosophy of law; Agreement; International economics; Law and economics; Business; Law; Economics; Free trade; Comparative law; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001798276,0.0002281182,0.0002678542,0.0004948333,0.003079378,0.001529822,0.001433939,0.0002015,0.002218355],"category_scores_gemma":[0.003313937,0.0002392465,0.0001593458,0.0003446141,0.0001660315,0.002297868,0.0001589924,0.0004705444,0.0002171205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830259,"about_ca_system_score_gemma":0.0002212708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700682,"about_ca_topic_score_gemma":0.01773115,"domain_scores_codex":[0.996679,0.0003868294,0.000781927,0.0003450378,0.001178269,0.0006289181],"domain_scores_gemma":[0.9976751,0.0002046932,0.0009041587,0.0007314012,0.0001730401,0.0003116636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001969334,0.0009727137,0.7043225,0.00001975004,0.0002567479,0.00009924036,0.04773161,0.001229938,0.0005868276,0.05974454,0.0907683,0.09407093],"study_design_scores_gemma":[0.00254146,0.00006050325,0.9233938,0.00012936,0.00005872505,0.000005798592,0.001988463,0.0004195503,0.0000695147,0.008873191,0.06213395,0.0003256982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666908,0.000198164,0.00424385,0.04794614,0.005961508,0.001555502,0.0000264049,0.0001671478,0.0732105],"genre_scores_gemma":[0.9936387,0.000639738,0.0006311929,0.0002388648,0.0009043229,0.00002231442,0.00002062,0.00001964207,0.003884593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2190713,"threshold_uncertainty_score":0.9995067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197231724402521,"score_gpt":0.3946480700785601,"score_spread":0.274924897638308,"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."}}