{"id":"W1501702496","doi":"10.20381/ruor-5747","title":"Managing Terminology for Translation Using Translation Environment Tools: Towards a Definition of Best Practices","year":2012,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Terminology; Documentation; Computer science; Best practice; Term (time); Set (abstract data type); Data science; Artificial intelligence; Information retrieval; World Wide Web; Natural language processing; Linguistics; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.08729186,0.00329702,0.002615985,0.02042509,0.006656428,0.03771943,0.01402652,0.01133646,0.00165995],"category_scores_gemma":[0.0890843,0.002873747,0.002551748,0.01989404,0.02623121,0.05025893,0.01693308,0.01117106,0.003082751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01103248,"about_ca_system_score_gemma":0.02934519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007566527,"about_ca_topic_score_gemma":0.005634225,"domain_scores_codex":[0.8974359,0.04821867,0.02156621,0.007726912,0.02201536,0.003037027],"domain_scores_gemma":[0.8914943,0.04282181,0.01016705,0.0276308,0.02459504,0.003291006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006289528,0.0004559501,0.003057747,0.002619958,0.000170441,0.0007343004,0.03751236,0.005454792,0.005162851,0.6654773,0.01023255,0.2690589],"study_design_scores_gemma":[0.00007553923,0.0002597099,0.001908456,0.009276023,0.0002186803,0.002092008,0.03542013,0.01912653,0.008603129,0.5841448,0.3385299,0.0003451191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008541052,0.007303076,0.9415731,0.0209068,0.0004284651,0.000932087,0.000193795,0.001628076,0.01849341],"genre_scores_gemma":[0.0318613,0.004527913,0.9589456,0.001024358,0.0001638413,0.0008383053,0.0004110086,0.000464929,0.001762757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08729186,"threshold_uncertainty_score":0.461649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.502436960551328,"score_gpt":0.3956247757563018,"score_spread":0.1068121847950262,"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."}}