{"id":"W3081338108","doi":"10.3968/11781","title":"Analysis on President Xi Jinping’s Expressions in Publicity Translation","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publicity; China; Translation (biology); Political science; Order (exchange); Task (project management); Linguistics; Law; Management; Economics; Philosophy","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":[0.005132747,0.0003251297,0.0002204909,0.001797396,0.003235942,0.002049812,0.0003146146,0.0004182623,0.003294197],"category_scores_gemma":[0.01794337,0.0002004665,0.0001543272,0.00412803,0.003274343,0.002193874,0.001826728,0.001503877,0.0005267203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003730994,"about_ca_system_score_gemma":0.002755447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00653215,"about_ca_topic_score_gemma":0.006627182,"domain_scores_codex":[0.9923994,0.004993167,0.0003405354,0.0003359312,0.001508921,0.0004221215],"domain_scores_gemma":[0.9839987,0.01045428,0.001870926,0.000803557,0.002585666,0.0002867257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002448686,0.00004537301,0.01708982,0.0004694736,0.00001754978,0.001619695,0.8137537,0.0003024743,0.01268193,0.0862876,0.009416667,0.05807083],"study_design_scores_gemma":[0.00002730344,0.0001083716,0.09606387,0.0004242373,0.00006273383,0.001637043,0.5906938,0.004791428,0.01757313,0.0100568,0.2784369,0.0001243448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937047,0.0005925625,0.009064354,0.005365647,0.0002821634,0.0001604534,0.0004295353,0.00007800384,0.09032266],"genre_scores_gemma":[0.9913141,0.0002702822,0.001677648,0.0001668069,0.00005775719,0.00006822908,0.0001787109,0.00004998091,0.006216377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00653215,"threshold_uncertainty_score":0.02714491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113475496591129,"score_gpt":0.3007836763283153,"score_spread":0.1894361266692024,"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."}}