{"id":"W2516513989","doi":"10.5539/ells.v6n3p42","title":"Effect of Technological Developments on Ethical Position of Translator","year":2016,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Position (finance); Translation (biology); Engineering ethics; Machine translation; Ethical issues; Computer science; Process (computing); Sociology; Knowledge management; Linguistics; Epistemology; Artificial intelligence; Business; Philosophy; Engineering; World Wide Web; Chemistry","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":[0.04274787,0.0002767546,0.0003220442,0.001723006,0.008718808,0.01478329,0.001425541,0.004687703,0.009569066],"category_scores_gemma":[0.229228,0.0004814883,0.0006464312,0.002338948,0.0133907,0.0133372,0.008766226,0.007991403,0.001673031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008269623,"about_ca_system_score_gemma":0.006193359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815868,"about_ca_topic_score_gemma":0.002015925,"domain_scores_codex":[0.9084473,0.06931488,0.003609407,0.004142007,0.01211064,0.002375707],"domain_scores_gemma":[0.6812838,0.2441548,0.03760666,0.008065337,0.02282559,0.006063873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008007889,0.0005988938,0.05064709,0.001185547,0.0001262339,0.005181971,0.5345132,0.00139794,0.003533096,0.2223087,0.0200665,0.15964],"study_design_scores_gemma":[0.0002559975,0.001118843,0.08175966,0.003652896,0.0002168382,0.003156353,0.4849604,0.001730856,0.008646786,0.07443964,0.3397577,0.000303987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6026431,0.008233775,0.005938948,0.1138821,0.002021641,0.0002003619,0.00006900906,0.00007043943,0.2669407],"genre_scores_gemma":[0.9837226,0.00237481,0.001337704,0.00469301,0.0004760563,0.0001180649,0.00002051136,0.00004806504,0.007209147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04274787,"threshold_uncertainty_score":0.2260751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204148482455489,"score_gpt":0.2832188003728396,"score_spread":0.2711773155482847,"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."}}