{"id":"W1805671550","doi":"10.21992/t90p86","title":"What is Gained in Subtitling: How Film Subtitles Can Expand the Source Text","year":2015,"lang":"en","type":"article","venue":"TranscUlturAl A Journal of Translation and Cultural Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Source text; Originality; Target text; Meaning (existential); Linguistics; Computer science; Poetry; Value (mathematics); Translation (biology); Function (biology); Translation studies; Literature; Artificial intelligence; Psychology; Art; Philosophy; Creativity; Social psychology","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":[0.005669769,0.0007522195,0.0003978395,0.001957229,0.004706578,0.01276729,0.001835951,0.001611742,0.009097709],"category_scores_gemma":[0.02274419,0.0003758232,0.000714572,0.001868383,0.0161177,0.02129473,0.007674309,0.002915439,0.001951973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003121686,"about_ca_system_score_gemma":0.00201796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003593931,"about_ca_topic_score_gemma":0.003781232,"domain_scores_codex":[0.9947807,0.003569731,0.0001493419,0.0004053082,0.0007171012,0.0003778605],"domain_scores_gemma":[0.9863991,0.00910323,0.000646328,0.002167988,0.001093297,0.0005900193],"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":[0.0003130884,0.000170577,0.003167456,0.0008241111,0.00002989507,0.002185729,0.5051185,0.001219504,0.009570082,0.3088647,0.00816529,0.160371],"study_design_scores_gemma":[0.0001001323,0.0003071272,0.006414065,0.001367509,0.00009539263,0.001922064,0.2773696,0.00524691,0.009998883,0.3794566,0.3176098,0.0001119878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3643341,0.003795979,0.09381463,0.03215561,0.0008341578,0.0003276368,0.0002628697,0.0008906941,0.5035843],"genre_scores_gemma":[0.9436655,0.001566529,0.0253443,0.001147902,0.0002134818,0.0001740906,0.0002361589,0.0006403481,0.02701161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01276729,"threshold_uncertainty_score":0.03043485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971242036801453,"score_gpt":0.320826670676077,"score_spread":0.1237024669959317,"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."}}