{"id":"W3168264970","doi":"","title":"해외 선진 사례 고찰을 통한 국내 공공번역 시스템 구축 방안 제언","year":2015,"lang":"ko","type":"article","venue":"통역과 번역","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Terminology; Tourism; Certification; Public sector; Business; Political science; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003242584,0.0003444923,0.0004214172,0.0001048808,0.0003064293,0.0004227852,0.0003342421,0.000169349,0.01367497],"category_scores_gemma":[0.0001370843,0.0002944879,0.0002016304,0.00007251742,0.0002912108,0.0002376655,0.000154159,0.0003416369,0.01046829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008181026,"about_ca_system_score_gemma":0.0001653579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00065078,"about_ca_topic_score_gemma":0.0007923798,"domain_scores_codex":[0.9980073,0.00008431037,0.0003918693,0.0004165017,0.0004829166,0.000617079],"domain_scores_gemma":[0.9986716,0.0001113706,0.0001519836,0.0004729951,0.000196349,0.0003957249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001141924,0.0005392682,0.001732273,0.0002054751,0.0002457688,0.0001421489,0.06320047,0.000006362757,0.0002422656,0.1156076,0.7870572,0.03090693],"study_design_scores_gemma":[0.0008658543,0.0002916513,0.001048812,0.0001423174,0.00009507499,0.000008361045,0.009739541,0.0001230973,0.0003232652,0.002463035,0.9844405,0.0004584785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5063835,0.007047281,0.00001156165,0.002898991,0.009627279,0.0003728145,0.00017784,0.000212009,0.4732687],"genre_scores_gemma":[0.8542748,0.0002389186,0.00004552991,0.001341284,0.006402018,0.00001752137,0.00005017176,0.00006716187,0.1375626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3478913,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218386044548964,"score_gpt":0.2797863234612871,"score_spread":0.1579477190063907,"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."}}