{"id":"W2082118488","doi":"10.7202/006969ar","title":"What Dubbers of Children’s Television Programmes Can Learn from Translators of Children’s Books?","year":2003,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Quality (philosophy); Process (computing); Multimedia; Linguistics; Psychology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005113674,0.0002758887,0.0006409049,0.0001695995,0.0004212294,0.0003411395,0.0002194519,0.00005400572,0.001404435],"category_scores_gemma":[0.00003187464,0.000200998,0.0005295263,0.0000875127,0.0005366337,0.001079838,0.000007277075,0.0003606241,0.00000389696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493433,"about_ca_system_score_gemma":0.00005167409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007251419,"about_ca_topic_score_gemma":0.001255549,"domain_scores_codex":[0.9979541,0.0003258392,0.0007263068,0.0002356731,0.0004513701,0.0003067363],"domain_scores_gemma":[0.9987966,0.000169584,0.0005423966,0.0001985337,0.0001643808,0.000128468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002576153,0.0006989763,0.0401825,0.00008966307,0.009922178,0.000008354162,0.0477899,0.000130093,0.0005514727,0.02055212,0.0008068568,0.8790103],"study_design_scores_gemma":[0.004232819,0.001500142,0.04699268,0.0004489711,0.008333182,0.0002432793,0.01245057,0.000005861578,0.01486967,0.01705591,0.8926132,0.001253692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8104029,0.1867595,0.0001084144,0.0005327958,0.0008138037,0.0002625485,0.00009762635,0.0000277925,0.0009946447],"genre_scores_gemma":[0.9449191,0.0537289,0.0007434353,0.00006584832,0.000229307,0.000005607603,0.00001470284,0.00003681175,0.0002562759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8918064,"threshold_uncertainty_score":0.9995084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394262720194714,"score_gpt":0.2575984773198096,"score_spread":0.2181722053003382,"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."}}