{"id":"W4321179026","doi":"10.1017/9781108304467.038","title":"The Principle of Equal Treatment 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":"Tribunal; Arbitration; International arbitration; Ideal (ethics); Legitimacy; Political science; Law and economics; Constitution; Law; Jurisprudence; Substantive rights; Res judicata; Scope (computer science); Disadvantage; Human rights; 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":[0.005994201,0.0006638271,0.0007341995,0.001384392,0.003896332,0.008842151,0.001561258,0.00448111,0.007336407],"category_scores_gemma":[0.006691748,0.0004364532,0.0009567291,0.00143223,0.0209296,0.008245478,0.004610677,0.006598833,0.002502987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004748286,"about_ca_system_score_gemma":0.0046496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003036439,"about_ca_topic_score_gemma":0.002452602,"domain_scores_codex":[0.9904884,0.003915494,0.0004030274,0.0007515125,0.003528412,0.0009131155],"domain_scores_gemma":[0.9986399,0.0007926061,0.0000917723,0.0002183977,0.0001986551,0.00005858261],"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":[8.001069e-7,0.000001300727,0.00000621107,0.000006010459,6.09083e-7,0.000005733219,0.0001948978,0.00005613608,0.00001360878,0.9969971,0.0009805487,0.001737073],"study_design_scores_gemma":[0.000004185027,0.000006482256,0.00006059984,0.00008893637,0.000003706117,0.00004585917,0.0001499449,0.0002496764,0.00008919935,0.8615358,0.1377581,0.000007351812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001808165,0.008245399,0.04673638,0.009381726,0.0008637475,0.00007510836,0.00003036589,0.00004292941,0.9328163],"genre_scores_gemma":[0.490269,0.02131766,0.06132767,0.01735054,0.004509059,0.001055014,0.0001841596,0.0003349482,0.4036519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008842151,"threshold_uncertainty_score":0.03445137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485895565681481,"score_gpt":0.2230070310161517,"score_spread":0.1881480753593369,"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."}}