{"id":"W3126039749","doi":"","title":"Towards an extraterritorial application of the Chinese anti-monopoly law that avoids trade conflicts","year":2013,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Monopoly; Context (archaeology); Competition (biology); International trade; Business; Law; Market economy; Economics; Political science","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":[0.01004096,0.0006704773,0.0003915213,0.001434391,0.003988333,0.004916248,0.003426729,0.007018572,0.01262868],"category_scores_gemma":[0.01040671,0.0005024732,0.0007616498,0.001106889,0.01212237,0.00549521,0.004199671,0.005643209,0.002913408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006464987,"about_ca_system_score_gemma":0.01649551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02997093,"about_ca_topic_score_gemma":0.02159332,"domain_scores_codex":[0.993336,0.001754764,0.0002510259,0.0007630084,0.003051277,0.0008439297],"domain_scores_gemma":[0.9969594,0.000826368,0.0002048388,0.0006394041,0.001199722,0.0001701185],"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":[0.000009465525,0.0000239401,0.0002934815,0.00004149706,0.000004142571,0.0001557876,0.0005964478,0.000355241,0.0003916098,0.9632747,0.02335849,0.01149536],"study_design_scores_gemma":[0.0000901051,0.0001349387,0.002843465,0.0003933634,0.0000373881,0.0003366858,0.0007968566,0.0105733,0.003028151,0.4623237,0.5193404,0.000101732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01830263,0.002482563,0.03502421,0.07166661,0.002803767,0.0005415221,0.000133275,0.0003794531,0.8686659],"genre_scores_gemma":[0.6009901,0.002967985,0.04649097,0.04385229,0.003048979,0.001106155,0.0002421976,0.0002565421,0.3010448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02997093,"threshold_uncertainty_score":0.0595929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491674147092174,"score_gpt":0.2716552143974156,"score_spread":0.2567384729264939,"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."}}