{"id":"W2366382468","doi":"","title":"Analysis on International Ecologic al Trade Barriers and Countermeasures","year":2002,"lang":"en","type":"article","venue":"Zhongguo ruankexue","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protectionism; Trade barrier; International trade; Measure (data warehouse); Economics; International economics; Business; Computer 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":[0.0008270122,0.0002830912,0.0002770812,0.00170271,0.0002622941,0.001433406,0.0002871983,0.0004744995,0.004354953],"category_scores_gemma":[0.003482686,0.00009554985,0.000609729,0.001326092,0.0006490722,0.001512185,0.0005397018,0.000748902,0.0001396678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009758389,"about_ca_system_score_gemma":0.0007070791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002464941,"about_ca_topic_score_gemma":0.001253269,"domain_scores_codex":[0.9995383,0.0001162675,0.00001650375,0.00005043144,0.0001364687,0.0001420022],"domain_scores_gemma":[0.9981192,0.000736531,0.0006813299,0.0001148381,0.0002515918,0.00009656587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002042226,0.0001251271,0.05168502,0.0003552807,0.0001880939,0.0007538133,0.0005600204,0.04647483,0.002025938,0.8337284,0.003145217,0.06075389],"study_design_scores_gemma":[0.00007706546,0.000399703,0.3476771,0.0004799072,0.0005244456,0.0008963966,0.005980316,0.1587168,0.005740279,0.4102761,0.06914574,0.00008605362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761473,0.004809554,0.02334578,0.002512381,0.00006240635,0.00008104435,0.0004573213,0.00006304449,0.09252102],"genre_scores_gemma":[0.9952277,0.0008881019,0.0007406804,0.00005350877,0.0000179788,0.00001522326,0.00009915498,0.000006433934,0.002951209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004354953,"threshold_uncertainty_score":0.01456875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032552722315888,"score_gpt":0.2110172918429618,"score_spread":0.1606917646198029,"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."}}