{"id":"W2189003451","doi":"10.5539/ells.v5n4p1","title":"Translation Evaluation: The Suitability of the Argument Macrostructure Model for the Assessment of Translated Texts across Different Fields","year":2015,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Translation (biology); Argument (complex analysis); Quality (philosophy); Computer science; Quality assessment; Linguistics; Translation studies; Natural language processing; Evaluation methods; Epistemology; Medicine; Philosophy; Reliability engineering; Engineering; Chemistry","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":[0.04174681,0.001036774,0.0009539992,0.009153957,0.002224186,0.009396806,0.001822569,0.002253144,0.006837078],"category_scores_gemma":[0.1103732,0.000611558,0.001642342,0.004874055,0.00849656,0.01269299,0.005210109,0.002190852,0.002190388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0067158,"about_ca_system_score_gemma":0.005513876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057,"about_ca_topic_score_gemma":0.00321883,"domain_scores_codex":[0.9590775,0.02721297,0.002872895,0.002326922,0.00782268,0.0006870172],"domain_scores_gemma":[0.8938571,0.06709035,0.009184376,0.01019125,0.01863056,0.00104633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007770112,0.0003605677,0.06689133,0.001821278,0.0003092847,0.0006417279,0.03674244,0.005284885,0.007203326,0.5465769,0.006155933,0.3272352],"study_design_scores_gemma":[0.0002473175,0.001593955,0.1024644,0.003863722,0.0005984784,0.002171374,0.03878621,0.1178321,0.01133718,0.6568843,0.06387673,0.0003443156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1335567,0.001137178,0.7172294,0.006818612,0.0002047585,0.002415217,0.0005949497,0.001047652,0.1369955],"genre_scores_gemma":[0.763632,0.0002951026,0.2289797,0.0004614915,0.00005098444,0.002209604,0.0003895583,0.0002930312,0.003688663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04174681,"threshold_uncertainty_score":0.2207808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07313376250055216,"score_gpt":0.366764979069731,"score_spread":0.2936312165691788,"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."}}