{"id":"W4321178984","doi":"10.1017/9781108304467.014","title":"Arbitral Institutions","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; Scope (computer science); Law and economics; Liability; Relation (database); Political science; Business; Outcome (game theory); Law; Sociology; Economics; 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":[0.002329489,0.0005009546,0.0004025407,0.001759839,0.003209871,0.008782533,0.001255684,0.002021276,0.03045229],"category_scores_gemma":[0.004299376,0.0004060649,0.0004305778,0.002516607,0.008968583,0.005609438,0.003487603,0.002496937,0.006992807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004779069,"about_ca_system_score_gemma":0.003027508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812578,"about_ca_topic_score_gemma":0.001538958,"domain_scores_codex":[0.9968477,0.000799404,0.0001998939,0.0004531352,0.001208132,0.0004917284],"domain_scores_gemma":[0.9981232,0.0007569132,0.0002288811,0.0004281371,0.0003293962,0.0001333924],"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":[0.000001348417,0.000002362574,0.00003924293,0.00001290012,6.60331e-7,0.00001151712,0.0001716939,0.00009644563,0.00002750533,0.9936871,0.002124985,0.003824266],"study_design_scores_gemma":[0.000003615082,0.000008855586,0.0002775778,0.0001283974,0.00000325158,0.0001526614,0.0002707969,0.000562013,0.0001892989,0.4702125,0.5281838,0.000007313769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00222899,0.003392122,0.01555599,0.002188356,0.0001595068,0.00007407399,0.00007861407,0.00009599974,0.9762264],"genre_scores_gemma":[0.407175,0.009708025,0.02032134,0.002220646,0.0008568324,0.0004976933,0.0003787656,0.0002138889,0.5586277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03045229,"threshold_uncertainty_score":0.101873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131892535780085,"score_gpt":0.2136665720475798,"score_spread":0.1623476466897789,"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."}}