{"id":"W2151485023","doi":"10.7202/013254ar","title":"Strategy to Block Interference from the Source Language (cognate signifiants) in Korean-Chinese Interpretation","year":2006,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognate; Interpretation (philosophy); Linguistics; Expression (computer science); Perspective (graphical); Meaning (existential); Computer science; Block (permutation group theory); Psychology; Artificial intelligence; Mathematics; 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":[0.002007536,0.0008199138,0.0003538872,0.0004866309,0.0008775326,0.001219306,0.0008164494,0.0007519421,0.002579623],"category_scores_gemma":[0.01002813,0.0002556586,0.0003289174,0.0002878667,0.001630012,0.001611887,0.001379051,0.001011063,0.0006666619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849166,"about_ca_system_score_gemma":0.001416161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354924,"about_ca_topic_score_gemma":0.002319902,"domain_scores_codex":[0.9982786,0.00094703,0.000157899,0.0001722429,0.0003361705,0.0001080628],"domain_scores_gemma":[0.9944061,0.003060202,0.0006847999,0.0009000972,0.000758358,0.0001904917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.001443543,0.0009031194,0.01715697,0.001890702,0.0001418167,0.005569648,0.178886,0.00143812,0.395689,0.03405726,0.003057322,0.3597665],"study_design_scores_gemma":[0.0005183732,0.002979597,0.06571729,0.000835606,0.001112038,0.01423957,0.1070796,0.03491011,0.5938411,0.0375789,0.1407238,0.0004639852],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134029,0.0006508354,0.1406511,0.001150284,0.00013853,0.0006232155,0.00005071426,0.0006828097,0.04264953],"genre_scores_gemma":[0.9110002,0.0001861679,0.08423771,0.0002169403,0.00001794964,0.0002347978,0.00003816354,0.00009131902,0.003976805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579623,"threshold_uncertainty_score":0.01061696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243925307221122,"score_gpt":0.2609525808940866,"score_spread":0.2285133278218754,"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."}}