{"id":"W1685070911","doi":"","title":"A CDA Approach to Translation Quality Assessment: A Case Study of Lost Symbol","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yardstick; Source text; Quality (philosophy); Critical discourse analysis; Linguistics; Target culture; Symbol (formal); Translation (biology); Discourse analysis; Computer science; Point (geometry); Focus (optics); Sociology; Translation studies; Psychology; Political science; Politics; Epistemology; Ideology; Philosophy; Mathematics; Law","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":[0.02219321,0.0007774438,0.0008376521,0.002997766,0.0161309,0.008224993,0.002850811,0.004716562,0.003949494],"category_scores_gemma":[0.03851774,0.0005414328,0.0008984794,0.004783053,0.01030274,0.006109468,0.008933069,0.005497929,0.001052215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007391617,"about_ca_system_score_gemma":0.005583147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767428,"about_ca_topic_score_gemma":0.01048058,"domain_scores_codex":[0.9637516,0.03033016,0.001053015,0.001074902,0.002694406,0.00109593],"domain_scores_gemma":[0.9583512,0.03162418,0.002015545,0.002260189,0.003812468,0.001936496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001819963,0.0006326022,0.004486129,0.0006868492,0.00002582901,0.02136699,0.9045821,0.0006119039,0.002144406,0.02010824,0.002645039,0.04252793],"study_design_scores_gemma":[0.00008278368,0.0004799937,0.00343021,0.0006466255,0.00005482056,0.008979591,0.8881031,0.002962281,0.004795717,0.009800547,0.08059052,0.00007379721],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045877,0.002059926,0.04024224,0.01184606,0.0003407869,0.000990343,0.0001592681,0.0001165986,0.03965706],"genre_scores_gemma":[0.9605141,0.001143863,0.02525598,0.00097839,0.00008583371,0.0004454835,0.00008001566,0.0001097482,0.0113864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02219321,"threshold_uncertainty_score":0.1173703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094833801542089,"score_gpt":0.3889921641607639,"score_spread":0.279508784006555,"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."}}