{"id":"W2381844775","doi":"","title":"A Brief Analysis on EU's Special Safeguard Mechanism in Respect of China","year":2005,"lang":"en","type":"article","venue":"Hebei faxue","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safeguard; China; International trade; Order (exchange); Business; Mechanism (biology); Law; Political science; Finance","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":[0.002436058,0.0005948835,0.0005438536,0.001905161,0.003291983,0.00413692,0.001225935,0.004075869,0.005717237],"category_scores_gemma":[0.002383939,0.0004059372,0.001265377,0.001763824,0.003266918,0.003115941,0.001778905,0.003184479,0.0004403882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007701037,"about_ca_system_score_gemma":0.006929408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779223,"about_ca_topic_score_gemma":0.02889254,"domain_scores_codex":[0.9974653,0.0005250121,0.0001751578,0.0002645255,0.0007766995,0.0007933105],"domain_scores_gemma":[0.9994229,0.0002036098,0.0000900461,0.00008361247,0.0001595088,0.00004032768],"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":[0.00003603021,0.00002315369,0.001644479,0.00007799392,0.00002001711,0.0008493073,0.0008277885,0.001461782,0.0007777492,0.9811399,0.003831766,0.009310117],"study_design_scores_gemma":[0.00008465394,0.00047309,0.03526231,0.001113151,0.0002468162,0.001678393,0.00372007,0.01433966,0.007679779,0.3406951,0.5944539,0.0002531328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1703545,0.008622262,0.01691649,0.01551754,0.000867054,0.0004698459,0.0004427432,0.0001174695,0.786692],"genre_scores_gemma":[0.8677325,0.007038963,0.006340667,0.007681743,0.0004698125,0.0004007017,0.0002388804,0.00004696841,0.1100497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04779223,"threshold_uncertainty_score":0.0950281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012874894867197,"score_gpt":0.2756532999042811,"score_spread":0.2655245509556091,"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."}}