{"id":"W2136139059","doi":"10.5539/ells.v3n3p21","title":"Arberry's Qur'anic Translation Pitfalls: Analysis, Implications","year":2013,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Historical and Linguistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Linguistics; Rendering (computer graphics); Interpretation (philosophy); Grammar; Computer science; Arabic; Natural language processing; Philosophy; Artificial intelligence","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":[0.01611121,0.0006387408,0.0008790553,0.004704334,0.009745313,0.009261811,0.001731732,0.002745664,0.003696214],"category_scores_gemma":[0.04243744,0.0004896407,0.0003242031,0.009985988,0.02581091,0.01128973,0.003279273,0.003586278,0.0004848668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007718544,"about_ca_system_score_gemma":0.006349334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710392,"about_ca_topic_score_gemma":0.01808943,"domain_scores_codex":[0.9852396,0.009881128,0.0006124493,0.000914937,0.002599695,0.0007520696],"domain_scores_gemma":[0.9311421,0.0547961,0.005050741,0.001434298,0.007077488,0.0004992095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000092535,0.00006463934,0.004270766,0.0003638014,0.0000165077,0.001881367,0.223684,0.0001976862,0.0002512458,0.7234364,0.01786899,0.02787207],"study_design_scores_gemma":[0.00004351572,0.0001048797,0.01460772,0.0023927,0.0000796548,0.00247412,0.5856609,0.003044986,0.001858515,0.2049941,0.1846308,0.00010824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4229519,0.03031271,0.0231794,0.264941,0.002530138,0.0002618961,0.0003117535,0.0001631455,0.255348],"genre_scores_gemma":[0.9775552,0.006663213,0.004388242,0.003671874,0.0007185784,0.0001062867,0.00007321723,0.00009609631,0.006727395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710392,"threshold_uncertainty_score":0.08520526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188671425100077,"score_gpt":0.3198303324265137,"score_spread":0.300963189916506,"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."}}