{"id":"W2197987173","doi":"","title":"Challenges for the United States in Negotiating a BIT with China: Reconciling Reciprocal Investment Protection with Policy Concerns","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Arbitration; Investment (military); Investment protection; Bilateral investment treaty; Negotiation; Treaty; Political science; International trade; State (computer science); Business; Foreign direct investment; Law and economics; Economics; Law; Politics; International investment","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":[],"consensus_categories":[],"category_scores_codex":[0.001328024,0.0001512827,0.0001202957,0.0002910451,0.0002320704,0.0002390466,0.0001617845,0.00003580649,0.000003531312],"category_scores_gemma":[0.0001258676,0.00008860452,0.00002954596,0.0003806305,0.00005197542,0.0007083018,0.00002150944,0.0006101938,0.000005857453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007390906,"about_ca_system_score_gemma":0.0008423058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229078,"about_ca_topic_score_gemma":0.007044045,"domain_scores_codex":[0.9985199,0.00002416052,0.0002328359,0.0001722388,0.0002904573,0.0007604199],"domain_scores_gemma":[0.9992867,0.00003244699,0.0002789419,0.00008312341,0.0002995294,0.00001922861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004565772,0.00006168985,0.0005361508,0.00001908176,0.0001172779,0.00000157338,0.0004557433,0.01668359,0.0000120752,0.9784585,0.00004898947,0.003148784],"study_design_scores_gemma":[0.009181726,0.001749366,0.001740042,0.0003928513,0.0001295889,0.0002546392,0.02913274,0.3563443,0.00008573956,0.4517951,0.1484705,0.0007233892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243288,0.003828673,0.05540549,0.07712748,0.0005578295,0.003528481,0.000003712314,0.0002245018,0.03499508],"genre_scores_gemma":[0.9921591,0.0006793584,0.0001317311,0.004950778,0.001583841,0.000151305,0.00002435504,0.00003318356,0.0002863028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5266634,"threshold_uncertainty_score":0.4881422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0495743138648567,"score_gpt":0.2625763707549132,"score_spread":0.2130020568900566,"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."}}