{"id":"W3128714238","doi":"10.5539/elt.v14n2p56","title":"Thinking Path Schema of English Translation for Chinese Classics: An Empirical Study on Translation Schema in Translation Courses","year":2021,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Schema (genetic algorithms); Psychology; Translation studies; Mathematics education; Translation (biology); Think aloud protocol; Cognition; Empirical research; Linguistics; Computer science; Epistemology; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001508035,0.0002948618,0.0004573308,0.0002067309,0.000439266,0.0002553992,0.0001637209,0.0001179172,0.0001578835],"category_scores_gemma":[0.0004025415,0.0002691748,0.0001773302,0.0001377879,0.00006021981,0.001309181,0.000009426717,0.0005652747,0.00000120521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262395,"about_ca_system_score_gemma":0.0000540559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231901,"about_ca_topic_score_gemma":0.004969038,"domain_scores_codex":[0.9975424,0.0005165812,0.0006701063,0.0004756826,0.0005092275,0.000285972],"domain_scores_gemma":[0.9979804,0.001203743,0.0002164111,0.0002900233,0.0002490852,0.00006031264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002127256,0.0009185001,0.008416194,0.00009664676,0.0000818544,0.00000751274,0.9040498,0.0001735407,0.0003176193,0.001608134,0.0000256861,0.08409175],"study_design_scores_gemma":[0.007251792,0.0009168484,0.003842958,0.0003139142,0.0002816317,0.000001145895,0.8832886,0.004268915,0.000490391,0.0007599588,0.09773968,0.0008441237],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648337,0.002340929,0.001735799,0.0002853692,0.0008792154,0.000835491,0.0001122115,0.0002227179,0.02875455],"genre_scores_gemma":[0.9943436,0.00002335348,0.003457876,0.0001062371,0.00166142,0.00006018778,0.0002588186,0.0000513549,0.0000370844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.097714,"threshold_uncertainty_score":0.999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06474336631283081,"score_gpt":0.3524145421945061,"score_spread":0.2876711758816753,"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."}}