{"id":"W1495623343","doi":"","title":"A Probe Into Translation Strategies of Tech English Neologism in Petroleum Engineering Field","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neologism; Variety (cybernetics); Field (mathematics); Petroleum; Translation (biology); Computer science; Linguistics; Artificial intelligence; Chemistry; Mathematics; Philosophy; Organic chemistry","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":[0.01850381,0.0005614033,0.0003436823,0.00295446,0.004719908,0.006561203,0.0008934567,0.001436145,0.004056491],"category_scores_gemma":[0.02996116,0.0002961496,0.0003165778,0.003793591,0.01209685,0.01004987,0.004018005,0.004000926,0.0007568864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744508,"about_ca_system_score_gemma":0.004964313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134456,"about_ca_topic_score_gemma":0.002554245,"domain_scores_codex":[0.9825179,0.0141869,0.0007499731,0.0005733449,0.001592676,0.0003792673],"domain_scores_gemma":[0.9676606,0.02534248,0.00138366,0.001875117,0.003376006,0.0003621941],"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":[0.00002848483,0.0000291327,0.0008147542,0.0002491452,0.000004627561,0.0005271457,0.3129928,0.00009842748,0.001075524,0.6468899,0.002487756,0.03480229],"study_design_scores_gemma":[0.00002987107,0.0001652384,0.003156396,0.002567585,0.00002789537,0.001612003,0.3582575,0.002226339,0.004938401,0.3116643,0.3152974,0.00005702488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2433553,0.0154801,0.1966385,0.1036033,0.002585649,0.0004660084,0.0001682158,0.0001895038,0.4375134],"genre_scores_gemma":[0.9447163,0.005443706,0.02878173,0.003880396,0.0003548067,0.0002463898,0.0000775109,0.0002163009,0.01628268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01850381,"threshold_uncertainty_score":0.09785861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667809801274826,"score_gpt":0.2762511564486782,"score_spread":0.2595730584359299,"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."}}