{"id":"W2519950315","doi":"10.1093/jnlids/idw022","title":"TPP, CETA and TTIP Between Innovation and Consolidation—Resolving Investor–State Disputes under Mega-regionals","year":2016,"lang":"en","type":"article","venue":"Journal of International Dispute Settlement","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transatlantic Trade and Investment Partnership; International trade; Investor-state dispute settlement; Arbitration; Consolidation (business); Negotiation; General partnership; State (computer science); Business; Political science; European union; International economics; Foreign direct investment; International investment; Economics; Law; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01207411,0.0002115628,0.0004255263,0.001075632,0.004016524,0.01392026,0.002188159,0.004819689,0.004176156],"category_scores_gemma":[0.02154485,0.0003696976,0.000642428,0.001456691,0.007460555,0.006963505,0.01070802,0.005779521,0.000494132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00690446,"about_ca_system_score_gemma":0.005718145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006151659,"about_ca_topic_score_gemma":0.008687357,"domain_scores_codex":[0.9922482,0.003512665,0.0003850714,0.001026386,0.001342398,0.001485355],"domain_scores_gemma":[0.9918373,0.004147762,0.001105199,0.00117017,0.001022169,0.0007174738],"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":[0.00002697375,0.000007840756,0.001121296,0.00004061357,0.000009937436,0.0002710297,0.003052335,0.0005265988,0.0001476764,0.9852937,0.001580866,0.007921198],"study_design_scores_gemma":[0.0000841451,0.0002421419,0.01577874,0.0009815289,0.0001267519,0.001508863,0.03655157,0.008825038,0.003271014,0.6285636,0.3039511,0.0001154184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3974608,0.007607706,0.0309255,0.03050265,0.0004689478,0.0001528463,0.0001338468,0.0001051727,0.5326425],"genre_scores_gemma":[0.9854808,0.0006533497,0.003331043,0.00160868,0.00008759548,0.00006690607,0.00002526445,0.00002272126,0.008723488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01392026,"threshold_uncertainty_score":0.06385475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628151520386572,"score_gpt":0.257276840293284,"score_spread":0.2309953250894182,"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."}}