{"id":"W1495207035","doi":"","title":"The Factors That Influenced Ezra Pound’s Translation and Introduction of Chinese Culture","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Poetry Analysis and Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pound (networking); Poetry; Literature; EPIC; Chinese culture; Chinese poetry; Chinese literature; History; Art; China; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003767992,0.0004673886,0.0002238874,0.001207071,0.002450014,0.003142182,0.0003556472,0.0007672752,0.001678131],"category_scores_gemma":[0.008679432,0.0002170265,0.0001875092,0.001362028,0.007273753,0.00289739,0.002258342,0.002455685,0.0003300149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003325984,"about_ca_system_score_gemma":0.002355541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702663,"about_ca_topic_score_gemma":0.00299446,"domain_scores_codex":[0.997429,0.001320313,0.0001622211,0.0002228828,0.000654029,0.0002116278],"domain_scores_gemma":[0.9960529,0.002293096,0.0003174088,0.00031997,0.0008691443,0.0001474712],"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":[0.0001583529,0.00008305084,0.009788445,0.0003452506,0.00002201176,0.001656506,0.4065276,0.0004191847,0.005683969,0.4696604,0.006809737,0.0988455],"study_design_scores_gemma":[0.00006431662,0.0003680712,0.09211232,0.0008803454,0.00006894155,0.001947855,0.1854163,0.003217238,0.01893834,0.06678113,0.630008,0.0001971303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070898,0.003722475,0.009371304,0.01358946,0.0007944059,0.0001353876,0.0000616824,0.00007406272,0.2651614],"genre_scores_gemma":[0.9848059,0.0009329708,0.001070063,0.0004298932,0.00008863914,0.00003134878,0.00001512076,0.0000363061,0.0125898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003767992,"threshold_uncertainty_score":0.02413183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05628514747755942,"score_gpt":0.3249080638989079,"score_spread":0.2686229164213485,"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."}}