{"id":"W2147781499","doi":"10.7202/004605ar","title":"The Application of Argumentation Theory to Translation Quality Assessment","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argumentation theory; Weighting; Computer science; Dimension (graph theory); Quality (philosophy); Translation (biology); Quality assessment; Criticism; Focus (optics); Sampling (signal processing); Natural language processing; Artificial intelligence; Statistics; Mathematics; Epistemology; Evaluation methods; Reliability engineering; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001439249,0.00009255995,0.0001642175,0.0000521087,0.000817168,0.0002049159,0.000122137,0.00001383162,0.0006443762],"category_scores_gemma":[0.00001793853,0.00005633895,0.0001480513,0.00006358648,0.0001473418,0.0004058946,0.000003759081,0.000128477,0.00001617717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001806187,"about_ca_system_score_gemma":0.000006152174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003271851,"about_ca_topic_score_gemma":0.000298297,"domain_scores_codex":[0.998673,0.0003862044,0.0004336355,0.00009763039,0.0002868273,0.0001227323],"domain_scores_gemma":[0.9989192,0.0005056554,0.0002714788,0.0001187988,0.0001374831,0.00004734459],"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":[0.00003217632,0.00005342937,0.000106808,0.0000113002,0.0003545077,1.360235e-7,0.006212985,0.00007419776,0.0003655269,0.1811131,0.0001983892,0.8114774],"study_design_scores_gemma":[0.0002324788,0.00008692957,0.002833165,0.000004685977,0.0004102031,0.00000402668,0.001529514,0.0001207592,0.0001277244,0.03778855,0.956771,0.00009097719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08137698,0.1552853,0.6666238,0.02376784,0.002094701,0.001421796,0.00008972501,0.0001113388,0.0692285],"genre_scores_gemma":[0.9849138,0.01138783,0.002484623,0.0001843022,0.0003038812,0.00003536352,0.00000338157,0.00001328279,0.0006735427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9565726,"threshold_uncertainty_score":0.7055467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698457389525767,"score_gpt":0.3593033040865067,"score_spread":0.1894575651339301,"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."}}