{"id":"W2084430736","doi":"10.7202/004644ar","title":"Ut Once More: The Sentence as the Key Functional Unit of Translation","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sentence; Computer science; Bridging (networking); Linguistics; Translation (biology); Natural language processing; Source text; Function (biology); Term (time); Set (abstract data type); Key (lock); Text linguistics; Artificial intelligence; Philosophy; Programming language; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005046282,0.0001212872,0.0001635146,0.00004304669,0.001151595,0.0002090826,0.0001944812,0.00001723867,0.004464079],"category_scores_gemma":[0.00002604193,0.000057465,0.0002183791,0.00008948563,0.0005821135,0.0005359387,0.000005954086,0.000308728,0.00003823653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005947229,"about_ca_system_score_gemma":0.00001201236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008100301,"about_ca_topic_score_gemma":0.0002168594,"domain_scores_codex":[0.9988456,0.0002113005,0.0003103128,0.00009581263,0.0003853562,0.0001515686],"domain_scores_gemma":[0.9989797,0.0004711223,0.0002180833,0.0001309409,0.0001635061,0.00003664106],"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":[0.000165067,0.0002114668,0.0006029728,0.00004473323,0.002735652,0.0000109534,0.09122889,0.00126256,0.0003973035,0.1039808,0.00580291,0.7935567],"study_design_scores_gemma":[0.0002146253,0.00005976251,0.00169253,0.00001105694,0.0006157698,0.0001052188,0.002589928,0.0002221834,0.00006315692,0.003810585,0.9905341,0.00008112945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2244114,0.5175033,0.008133419,0.1407375,0.00428272,0.0007242407,0.00009701996,0.0001037233,0.1040067],"genre_scores_gemma":[0.9629624,0.03143744,0.0001968537,0.0008611908,0.0008409015,0.000008946821,0.00000216155,0.00001747353,0.003672636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847311,"threshold_uncertainty_score":0.996446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871427668375384,"score_gpt":0.2846800122413686,"score_spread":0.09753724540383019,"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."}}