{"id":"W2151426052","doi":"10.1556/acr.6.2005.2.1","title":"Back to Translation as Language","year":2005,"lang":"en","type":"article","venue":"Across Languages and Cultures","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Linguistics; Focus (optics); Translation studies; Computer science; Dynamic and formal equivalence; Machine translation; Relevance (law); Natural language processing; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006596721,0.00009778931,0.00009670503,0.00001309732,0.0003260606,0.0002701043,0.00005512283,0.00002711987,0.004231596],"category_scores_gemma":[0.000004465397,0.00006948329,0.00003564631,0.0000217661,0.00005670671,0.0002647484,0.00001398174,0.00006068826,0.0007396963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003400204,"about_ca_system_score_gemma":0.000002401109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005777815,"about_ca_topic_score_gemma":0.008875875,"domain_scores_codex":[0.9994822,0.00001502519,0.000107556,0.0001424171,0.00009262288,0.0001602477],"domain_scores_gemma":[0.9997786,0.00003593315,0.00002911731,0.00007881788,0.00002431229,0.00005322637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004737201,0.00003040246,0.00009880093,0.00002345321,0.00004524465,0.000005101634,0.5662087,0.00001645116,0.0008166831,0.008685441,0.01546674,0.4085557],"study_design_scores_gemma":[0.0002094225,0.00003412918,0.0002315418,0.000008462731,0.00001051171,0.0000055067,0.05965064,0.000004342166,0.0002454077,0.0000254075,0.9394619,0.0001126617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243225,0.01864742,0.0000162825,0.008382032,0.0001145859,0.0001897115,0.0001384057,0.00007685956,0.4481122],"genre_scores_gemma":[0.9743884,0.0002505684,0.0003917099,0.002820431,0.0008391403,0.000009470571,0.00002395227,0.00001061928,0.02126567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239952,"threshold_uncertainty_score":0.9966787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267101392306655,"score_gpt":0.3545406716937771,"score_spread":0.3278305324631116,"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."}}