{"id":"W1976619590","doi":"10.7202/1013955ar","title":"Translating Mad Cow Disease: A Case Study of Subtitling for a Television News Magazine","year":2013,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Negotiation; Government (linguistics); Advertising; Institution; Politics; Media studies; Relevance (law); Product (mathematics); Power (physics); Political science; Sociology; Public relations; Linguistics; Literature; Law; Art; Business","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":[0.01000528,0.001897801,0.0008894158,0.003063005,0.02521536,0.01003476,0.0035454,0.006480863,0.006805304],"category_scores_gemma":[0.0236122,0.0008798665,0.0009798654,0.003509018,0.01272082,0.006359323,0.0072174,0.006195538,0.001645638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00701393,"about_ca_system_score_gemma":0.003527259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242333,"about_ca_topic_score_gemma":0.02627771,"domain_scores_codex":[0.982557,0.01371976,0.0004005448,0.0007560626,0.001154049,0.001412534],"domain_scores_gemma":[0.971032,0.02325662,0.001782739,0.001055179,0.001248347,0.001625233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004570466,0.0001090087,0.0008172842,0.0001054988,0.00000444505,0.009023505,0.9827607,0.00004924017,0.001243406,0.001635925,0.0005701366,0.00363525],"study_design_scores_gemma":[0.0000133798,0.0001527635,0.001184547,0.0001491988,0.00001420831,0.003738651,0.9654375,0.0002939296,0.001624416,0.0005774018,0.02678616,0.00002792737],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645675,0.0007309987,0.003880471,0.005283954,0.0001730262,0.000240791,0.0001016612,0.00008692832,0.02493454],"genre_scores_gemma":[0.9799959,0.0008763401,0.003719417,0.001381338,0.0001686033,0.0001798474,0.0001352891,0.0002160878,0.01332716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02521536,"threshold_uncertainty_score":0.05291361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132848240978509,"score_gpt":0.311711819756101,"score_spread":0.1984269956582501,"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."}}