{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006251507,0.0001011266,0.0001555623,0.00006435129,0.0005770943,0.0003920321,0.00007013735,0.00001375719,0.00450654],"category_scores_gemma":[0.00003565731,0.00007163859,0.00009317456,0.00003143896,0.0002482972,0.0007522135,0.000006316858,0.0001495461,0.0000339124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073558,"about_ca_system_score_gemma":0.000004151697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001868411,"about_ca_topic_score_gemma":0.0000723179,"domain_scores_codex":[0.9990872,0.0001697109,0.0001979409,0.000111929,0.0002829414,0.0001502616],"domain_scores_gemma":[0.9994925,0.0001434659,0.0001143923,0.00006982373,0.0001126,0.00006723675],"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":[0.00001214115,0.0000413449,0.0001987517,0.00001714751,0.0006194359,0.000004781772,0.008120635,0.00004557828,0.00003641646,0.00866763,0.002098351,0.9801378],"study_design_scores_gemma":[0.0003588751,0.000109325,0.0006824449,0.00001277289,0.001381922,0.0001012905,0.0006054242,0.0005920694,0.00002325046,0.0139107,0.9820769,0.0001450258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4472882,0.5079315,0.0005496605,0.004837858,0.001369709,0.0002459576,0.00001431442,0.00005215401,0.03771065],"genre_scores_gemma":[0.9261044,0.07111207,0.000957866,0.0002632632,0.0003314658,0.000009682824,8.037797e-7,0.00001318214,0.001207237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799927,"threshold_uncertainty_score":0.9964035,"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."}}