{"id":"W2969987144","doi":"10.4337/9781788977821.00037","title":"Regulatory and policy issues arising from intellectual property and Investor-State Dispute Settlement in the EU: a closer look at the TTIP and CETA","year":2020,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Enforcement; Arbitration; European union; International trade; Business; Negotiation; Investor-state dispute settlement; State (computer science); Foreign direct investment; Investment (military); Law and economics; Political science; Law; International investment; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006919195,0.0003944964,0.0003125221,0.0002354878,0.0003864267,0.003889176,0.000403949,0.0001549999,0.0001161866],"category_scores_gemma":[0.0002892334,0.0002248215,0.00006515667,0.00004699393,0.0003954008,0.001277947,0.0008196273,0.000627563,0.00003520243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009767334,"about_ca_system_score_gemma":0.00007692086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753265,"about_ca_topic_score_gemma":0.001545829,"domain_scores_codex":[0.9981458,0.00004575056,0.0004434918,0.0005668848,0.0005453152,0.0002527261],"domain_scores_gemma":[0.9991108,0.000162276,0.0003021035,0.0002831357,0.00010279,0.00003888438],"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":[0.00008232631,0.00001446016,0.0003345918,0.0001405317,0.000180056,0.00002405736,0.005214843,0.000001612759,0.00009174702,0.817587,0.1698869,0.00644186],"study_design_scores_gemma":[0.0003897393,0.00001688292,0.0008636049,0.00019928,0.00005793358,0.000005580921,0.0001840343,0.0004585203,0.00002558293,0.05621113,0.941274,0.000313712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01676552,0.0009866714,0.00001125632,0.0619293,0.0003396551,0.0009364156,0.00006556774,0.0001001847,0.9188654],"genre_scores_gemma":[0.2041605,0.0003602724,0.0002925856,0.325789,0.008800314,0.0001130746,0.0009180993,0.0002911926,0.4592749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7713872,"threshold_uncertainty_score":0.9971449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555042610142325,"score_gpt":0.2197067596244535,"score_spread":0.1941563335230303,"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."}}