{"id":"W1526913840","doi":"","title":"China, Minerals Export, Raw and Rare Earth Materials: A Perfect Storm for WTO Dispute Settlement, and Sustainable Development","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; China; Tariff; Sustainable development; Investment (military); Business; Economics; Political science; International economics; Politics; Law","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":[0.003280665,0.0004196183,0.00043661,0.001068716,0.006025552,0.005959407,0.001192335,0.008851173,0.006514788],"category_scores_gemma":[0.003018384,0.0002479174,0.0004220079,0.002259085,0.01767828,0.005614326,0.004153868,0.004042934,0.0002889826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01381257,"about_ca_system_score_gemma":0.017485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.108592,"about_ca_topic_score_gemma":0.09261987,"domain_scores_codex":[0.9980921,0.0003905653,0.00007249475,0.0002996774,0.0006704707,0.0004746795],"domain_scores_gemma":[0.9990821,0.0003228923,0.0001773275,0.0001405136,0.0001576205,0.0001196469],"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":[0.0000232283,0.00001343219,0.001769395,0.0000381819,0.00000730192,0.0002192288,0.001612943,0.0003033504,0.0001777873,0.9808194,0.009417037,0.00559876],"study_design_scores_gemma":[0.00006688145,0.00008379634,0.0129043,0.0003321716,0.00003409787,0.0002183423,0.003111472,0.001820356,0.0009511579,0.6289467,0.3514605,0.00007023663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2060224,0.01749166,0.002742432,0.2395994,0.0007333677,0.000116248,0.0004017527,0.000078005,0.5328147],"genre_scores_gemma":[0.8601306,0.004788388,0.001033939,0.04508558,0.0005208101,0.0001441888,0.0001765654,0.00003144488,0.08808849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.108592,"threshold_uncertainty_score":0.2159198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006478799729746663,"score_gpt":0.2389663369569642,"score_spread":0.2324875372272175,"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."}}