{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199851,0.0001223171,0.0002528453,0.0001098864,0.0006960664,0.0001265053,0.00008913848,0.00007333666,0.0001009882],"category_scores_gemma":[0.001049253,0.00009352267,0.00009422991,0.0008262237,0.0001784538,0.0001431297,0.0000258985,0.0001332406,0.00000963035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003722647,"about_ca_system_score_gemma":0.00001436577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005893441,"about_ca_topic_score_gemma":0.001343377,"domain_scores_codex":[0.9991254,0.00009491025,0.0001717975,0.0002337921,0.000152217,0.0002218632],"domain_scores_gemma":[0.9990729,0.0002925185,0.00004971941,0.0001281664,0.0003748402,0.00008185517],"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":[0.000001948361,0.00002430286,0.001611513,0.00001509014,0.0005926005,0.000004043045,0.9672059,5.375975e-7,0.00002282143,0.01666649,0.0070082,0.006846505],"study_design_scores_gemma":[0.0002967546,0.00004120991,0.01024075,0.00005676453,0.0007611607,5.212902e-7,0.4738299,0.000008042367,0.000006637636,0.003228782,0.511126,0.0004034652],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3302484,0.4401739,0.000233362,0.007082484,0.001643578,0.0008576302,0.00007928232,0.0005211945,0.2191602],"genre_scores_gemma":[0.9909407,0.003100628,0.0004353744,0.0001527563,0.001300253,0.00007338805,0.00002243072,0.000006126593,0.003968343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6606923,"threshold_uncertainty_score":0.535365,"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."}}