{"id":"W2028307959","doi":"10.7202/002489ar","title":"Computerised Terminological Databases for Translators Who Use Word Processors","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glossary; Computer science; Word (group theory); Mode (computer interface); Linguistics; Romanization; Software; Space (punctuation); Word processing; Natural language processing; Database; Programming language; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005625193,0.0007475102,0.001419648,0.003161383,0.001817887,0.004670238,0.002043587,0.001192107,0.01598075],"category_scores_gemma":[0.02285712,0.001245474,0.0007773623,0.004343477,0.001343506,0.008770615,0.003517064,0.001910476,0.01043679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328448,"about_ca_system_score_gemma":0.002086513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064352,"about_ca_topic_score_gemma":0.001579931,"domain_scores_codex":[0.9956917,0.001687217,0.0009552984,0.0007168917,0.0007695396,0.0001793642],"domain_scores_gemma":[0.9827036,0.009115843,0.0007396063,0.004241382,0.00284481,0.0003548682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00275235,0.0003422006,0.006281048,0.001912909,0.00008022787,0.00196268,0.0185533,0.004854599,0.07761135,0.1007945,0.03036672,0.7544882],"study_design_scores_gemma":[0.0007997743,0.001017405,0.005511915,0.00092117,0.0002731347,0.003346234,0.01169003,0.05498831,0.1498689,0.06609148,0.7051126,0.0003790288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07077974,0.0009049149,0.8874074,0.0005490867,0.0002069187,0.001002438,0.003409957,0.01664967,0.01908988],"genre_scores_gemma":[0.1691994,0.001011044,0.7998302,0.0002199439,0.0001041436,0.0009897794,0.01014903,0.005180806,0.01331552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01598075,"threshold_uncertainty_score":0.05346096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165761354262148,"score_gpt":0.3068647469268147,"score_spread":0.1902886115005999,"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."}}