{"id":"W7018607465","doi":"","title":"Eli Lilly's Expropriation Challenge against Canada for Pharmaceutical Patent Invalidation: Inter-Mingling TRIPS with Investment Disputes?","year":2013,"lang":"en","type":"other","venue":"NTUR (臺灣機構典藏)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Expropriation; Investment (military); TRIPS architecture; Foreign direct investment; Government (linguistics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004740913,0.001084842,0.0009621078,0.0004556466,0.0001855109,0.0002223666,0.0006460001,0.0005689178,0.001401401],"category_scores_gemma":[0.0001876024,0.0008997557,0.0001777315,0.0003339611,0.000145288,0.0002392388,0.0001820028,0.0006857145,0.0006336868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001976548,"about_ca_system_score_gemma":0.001291424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04827518,"about_ca_topic_score_gemma":0.2814919,"domain_scores_codex":[0.9953166,0.00022607,0.0008627865,0.001289304,0.001269987,0.001035283],"domain_scores_gemma":[0.9969232,0.0001567719,0.001045891,0.0009336311,0.00034327,0.0005972321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003392805,0.0005469605,0.0001944313,0.00115393,0.001160047,0.00007616526,0.001317862,0.0001210098,0.000488414,0.002415326,0.9748597,0.01732689],"study_design_scores_gemma":[0.003905242,0.0002886492,0.00005748419,0.001317719,0.0003179892,0.000008706285,0.0003741231,0.00388334,0.001090802,0.00005150642,0.9873794,0.001325026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02790442,0.01932115,0.01403705,0.009585378,0.01875668,0.04910197,0.00776851,0.005896645,0.8476282],"genre_scores_gemma":[0.2773974,0.002793646,0.02542308,0.008981773,0.0165487,0.007918336,0.02149735,0.01643763,0.6230021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.249493,"threshold_uncertainty_score":0.9995115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06757473805143388,"score_gpt":0.2705679894901676,"score_spread":0.2029932514387338,"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."}}