{"id":"W1992907820","doi":"10.5539/hes.v4n2p91","title":"An Analysis of Mongolian Culture-Loaded Words and Their Translation Strategies","year":2014,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confusion; Target culture; Translation (biology); Linguistics; Psychology; Target text; Philosophy","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":[0.001653909,0.0002991545,0.0001626511,0.001776196,0.001570478,0.001705615,0.0002565383,0.0002847141,0.001906244],"category_scores_gemma":[0.003934075,0.0001364312,0.000122754,0.002712021,0.0009973719,0.001179345,0.000714559,0.0002999613,0.0004337578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513334,"about_ca_system_score_gemma":0.00193501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006492765,"about_ca_topic_score_gemma":0.01047396,"domain_scores_codex":[0.9988465,0.0005892775,0.000154813,0.0001090517,0.0001750688,0.0001252746],"domain_scores_gemma":[0.9976594,0.001240064,0.0003711823,0.0001209652,0.0005110325,0.00009728195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001623598,0.00005604475,0.07559919,0.0004879526,0.00002774329,0.001659119,0.7286959,0.0001578279,0.008937201,0.01196402,0.0009524223,0.1713002],"study_design_scores_gemma":[0.00001770514,0.000219641,0.2959857,0.0004735539,0.0001013592,0.002656151,0.6102711,0.00164175,0.006781517,0.00317084,0.07861771,0.00006296148],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841823,0.0007452086,0.001046425,0.0002390339,0.00001141618,0.00003782719,0.00005603162,0.000008364246,0.01367334],"genre_scores_gemma":[0.993983,0.0005917266,0.001670268,0.00004434129,0.000004099149,0.00002582825,0.0001242798,0.00001178599,0.003544733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006492765,"threshold_uncertainty_score":0.01290995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0835836908539885,"score_gpt":0.3517984563967653,"score_spread":0.2682147655427768,"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."}}