{"id":"W2135901974","doi":"10.7202/002886ar","title":"Equivalence Parameters and Evaluation","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Equivalence (formal languages); Semantic equivalence; Information retrieval; Computer science; Ranking (information retrieval); Relevance (law); Set (abstract data type); Natural language processing; Dynamic and formal equivalence; Coherence (philosophical gambling strategy); Mathematics; Pure mathematics; Statistics; Machine translation","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":[0.05310931,0.001538113,0.0020766,0.007718256,0.002166498,0.01271439,0.002241564,0.002951293,0.01272858],"category_scores_gemma":[0.2736818,0.0006928685,0.001322321,0.007058111,0.01088981,0.02157442,0.007471314,0.00334894,0.002374851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005098565,"about_ca_system_score_gemma":0.002597752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768569,"about_ca_topic_score_gemma":0.0008390501,"domain_scores_codex":[0.8944286,0.06213243,0.009789865,0.007554312,0.0245446,0.001550118],"domain_scores_gemma":[0.8294373,0.1169688,0.00826345,0.01894468,0.02502333,0.001362485],"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":[0.0002765678,0.0001045408,0.004013472,0.0006833561,0.0001110039,0.0001244943,0.002239223,0.009035847,0.001466399,0.7516622,0.002799974,0.2274829],"study_design_scores_gemma":[0.00005603523,0.000264125,0.002979901,0.0004585871,0.00009193377,0.0002368378,0.001690352,0.01723093,0.003577681,0.9438844,0.02941333,0.0001158953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04144625,0.00502704,0.7944235,0.002871662,0.0005879445,0.001037403,0.0005679461,0.0008759729,0.1531624],"genre_scores_gemma":[0.6668192,0.002040366,0.3186989,0.0005061586,0.000530123,0.001720963,0.0008251083,0.001100727,0.007758453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05310931,"threshold_uncertainty_score":0.2808722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368961129459911,"score_gpt":0.3165797707012558,"score_spread":0.0796836577552647,"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."}}