{"id":"W2154067369","doi":"10.1017/s1474745615000130","title":"The Creation of the Multilateral Trade Court: Design and Experiential Learning","year":2015,"lang":"en","type":"article","venue":"World Trade Review","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Negotiation; Context (archaeology); Legalization; Experiential learning; Argument (complex analysis); Political science; Settlement (finance); International trade; Law and economics; Economics; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02849148,0.0004814512,0.0004173963,0.001030062,0.001968481,0.005902655,0.003453097,0.00131419,0.009270404],"category_scores_gemma":[0.03356345,0.0004058169,0.0003752539,0.0008726108,0.007363919,0.003834231,0.005317159,0.00196419,0.0008178935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751703,"about_ca_system_score_gemma":0.003880582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005754182,"about_ca_topic_score_gemma":0.001109581,"domain_scores_codex":[0.9775352,0.01917417,0.0003630184,0.001084429,0.001099231,0.0007439542],"domain_scores_gemma":[0.9565391,0.03487243,0.001274865,0.003323391,0.001506851,0.002483337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001602042,0.01938418,0.01197678,0.002061041,0.0001074757,0.0008570941,0.1521025,0.01837776,0.01191145,0.1981048,0.005861478,0.5776535],"study_design_scores_gemma":[0.004414038,0.02007161,0.01637933,0.002730036,0.0003646367,0.0009459596,0.1802567,0.08270983,0.03638291,0.4582216,0.1971175,0.0004058586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7801192,0.0003927958,0.1381075,0.002209246,0.0001081881,0.003933429,0.00008094474,0.0003652769,0.07468337],"genre_scores_gemma":[0.930218,0.0001777485,0.06286893,0.0002177956,0.00001684795,0.001895867,0.0000539502,0.00004056754,0.004510302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02849148,"threshold_uncertainty_score":0.1506792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094902729198923,"score_gpt":0.3157790882915472,"score_spread":0.2748300609995579,"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."}}