{"id":"W3048775975","doi":"10.21992/tc29486","title":"Effect of Previous Translations on Retranslation: A Case Study of Russian-Dutch Literary Translation","year":2020,"lang":"en","type":"article","venue":"TranscUlturAl A Journal of Translation and Cultural Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Style (visual arts); Paratext; Literary translation; Target culture; Order (exchange); Translation studies; Literature; Source text; Computer science; Target text; History; Philosophy; Art","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":[0.01618048,0.0009169779,0.0008822002,0.002005419,0.006898116,0.005603605,0.002169751,0.003280425,0.005824456],"category_scores_gemma":[0.07888447,0.0006288892,0.001099914,0.003516626,0.006023756,0.006109193,0.004947958,0.003746207,0.001424635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503602,"about_ca_system_score_gemma":0.001805048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005865016,"about_ca_topic_score_gemma":0.007007431,"domain_scores_codex":[0.9719345,0.02136111,0.0014814,0.001207761,0.003316822,0.0006984049],"domain_scores_gemma":[0.891261,0.09113504,0.005851225,0.005354357,0.005343013,0.001055357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004863058,0.0008369995,0.013575,0.0006972771,0.00005885079,0.03101376,0.9064056,0.0005965453,0.004712264,0.00544044,0.001173521,0.03500341],"study_design_scores_gemma":[0.0003148623,0.002067552,0.0418929,0.0007736507,0.0002862893,0.02400334,0.8343894,0.005829216,0.01591763,0.005395606,0.06885797,0.000271454],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834085,0.0005253552,0.001680341,0.0008484065,0.00007160611,0.0001294531,0.00004989348,0.00004666169,0.01323974],"genre_scores_gemma":[0.9933704,0.0004437881,0.001851181,0.0002696734,0.0000559073,0.00008590493,0.00007797171,0.0001254136,0.003719801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618048,"threshold_uncertainty_score":0.08557153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498404588741409,"score_gpt":0.3508984233440647,"score_spread":0.2010579644699238,"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."}}