{"id":"W4220889505","doi":"10.1017/s1474745622000076","title":"Counterfactuals and Contingency in WTO Dispute Settlement History","year":2022,"lang":"en","type":"article","venue":"World Trade Review","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tribunal; Political science; Dispute resolution; Settlement (finance); Scholarship; Law and economics; Hindsight bias; Law; Politics; Economics","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":[0.04086921,0.0002882869,0.0008021967,0.005086068,0.004198181,0.01002282,0.002317638,0.00590129,0.008449006],"category_scores_gemma":[0.1013108,0.0005739171,0.0006402615,0.004278027,0.02407993,0.01374231,0.004365705,0.006373772,0.0004644466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005988051,"about_ca_system_score_gemma":0.002580682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920376,"about_ca_topic_score_gemma":0.003577813,"domain_scores_codex":[0.977201,0.01499811,0.001550396,0.002590719,0.002697623,0.0009621925],"domain_scores_gemma":[0.8575155,0.120927,0.0088305,0.007432899,0.004421522,0.0008725877],"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":[0.00001502095,0.00000541412,0.0005276848,0.00003177446,0.0000130826,0.00008609536,0.0005823968,0.0008825742,0.00001617557,0.9933115,0.0009650047,0.00356332],"study_design_scores_gemma":[0.00001093988,0.000009475673,0.0008206121,0.0001540246,0.000009559022,0.00007908102,0.000501293,0.00260654,0.00006775276,0.9824362,0.01328667,0.0000179263],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1985137,0.05292933,0.1305127,0.1038867,0.002437323,0.0002166928,0.0006430278,0.0002119954,0.5106485],"genre_scores_gemma":[0.9901697,0.002569613,0.003350585,0.001154004,0.0003974026,0.00005417688,0.00006728752,0.00002119837,0.002215932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04086921,"threshold_uncertainty_score":0.2161397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868164063325946,"score_gpt":0.2903954814127165,"score_spread":0.2617138407794571,"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."}}