{"id":"W4321178939","doi":"10.1017/9781108304467.040","title":"Evidentiary Issues in International Arbitration","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Arbitration; Tribunal; International arbitration; Political science; Marshalling; Law; Compulsory arbitration; Presentation (obstetrics); Law and economics; Business; Sociology; Computer science","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":[0.01281001,0.0006816107,0.0005915519,0.002251946,0.004524277,0.01654258,0.001481598,0.00557751,0.006617674],"category_scores_gemma":[0.019094,0.0005424847,0.0005658501,0.00327259,0.01608098,0.01158164,0.004216278,0.01027051,0.002170081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006056058,"about_ca_system_score_gemma":0.006013406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003217078,"about_ca_topic_score_gemma":0.00414076,"domain_scores_codex":[0.9876847,0.005437848,0.0007752429,0.0007321413,0.004833349,0.0005366192],"domain_scores_gemma":[0.989388,0.008578659,0.0002804711,0.0006783944,0.0009316629,0.000142913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002017447,0.000004403035,0.00001534935,0.0000388999,0.000001141986,0.00003670493,0.001120211,0.0000813763,0.00003650716,0.981159,0.008296636,0.009207654],"study_design_scores_gemma":[0.000003646391,0.0000111047,0.0001246748,0.0005560281,0.000005838035,0.0001573814,0.000711511,0.0003217742,0.0001930557,0.5319059,0.4659965,0.00001271194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001845056,0.06670223,0.01788986,0.02816299,0.001891103,0.0000642452,0.0000421649,0.00006860461,0.8833337],"genre_scores_gemma":[0.2830425,0.09292135,0.03662198,0.02554167,0.006945115,0.0005011923,0.0002150625,0.0003679072,0.5538433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01654258,"threshold_uncertainty_score":0.06774658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932822916902355,"score_gpt":0.21918543789787,"score_spread":0.1898572087288465,"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."}}