{"id":"W2141658339","doi":"10.7202/002692ar","title":"Contrastive Linguistics, Translation, and Parallel Corpora","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Norwegian; Parallel corpora; Equivalence (formal languages); Linguistics; Computer science; Corpus linguistics; Contrastive linguistics; Contrastive analysis; Translation studies; Natural language processing; Artificial intelligence; Machine translation; Applied linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01249196,0.0005889314,0.0006785109,0.004567028,0.002537205,0.003489932,0.001355167,0.0006797457,0.005900347],"category_scores_gemma":[0.05097733,0.0005482965,0.0003844731,0.008025481,0.004431066,0.005732708,0.003130241,0.00159713,0.000732002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409039,"about_ca_system_score_gemma":0.001170684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719482,"about_ca_topic_score_gemma":0.002524653,"domain_scores_codex":[0.9835724,0.01206199,0.001070146,0.001543805,0.001597389,0.0001542355],"domain_scores_gemma":[0.9489955,0.038543,0.002726998,0.006576932,0.002935287,0.0002223656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008812835,0.0004554097,0.01158061,0.002541154,0.0002260479,0.001803963,0.04676397,0.006220585,0.0117868,0.6199543,0.008273774,0.2895121],"study_design_scores_gemma":[0.0004027116,0.0006455702,0.02333532,0.001504777,0.0002578232,0.002863324,0.02177226,0.02479879,0.02103312,0.6393836,0.2637938,0.0002089758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2965499,0.006151036,0.5833173,0.001888533,0.0007682269,0.001734861,0.003681975,0.0007147378,0.1051934],"genre_scores_gemma":[0.755328,0.002219791,0.229386,0.0002546447,0.0002941045,0.002444751,0.003656558,0.0004492983,0.005966842],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01249196,"threshold_uncertainty_score":0.0660646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395504144815129,"score_gpt":0.2726931790246085,"score_spread":0.1331427645430956,"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."}}