{"id":"W7099927706","doi":"","title":"Published by Canadian Center of Science and Education 141 Exploration of Schema in Business English Translation","year":2016,"lang":"en","type":"article","venue":"","topic":"Sustainable Development and Environmental Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Schema (genetic algorithms); Business English; Conceptual schema; Cognition; Business communication; Business information; Translation studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003602928,0.0004448381,0.0007585005,0.003670177,0.007111766,0.01489005,0.001350154,0.002869023,0.3793331],"category_scores_gemma":[0.01046468,0.0006061473,0.0004403925,0.007346717,0.006821496,0.005160294,0.003745659,0.002782197,0.07218771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02656411,"about_ca_system_score_gemma":0.07796045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6150592,"about_ca_topic_score_gemma":0.7608575,"domain_scores_codex":[0.9977483,0.0003792158,0.0001629766,0.0003211033,0.001132477,0.000255908],"domain_scores_gemma":[0.9904374,0.002050842,0.0002388799,0.001283585,0.004653897,0.001335392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002833642,0.00005742645,0.001569838,0.0003779375,0.000007047482,0.0004103984,0.00266555,0.0002039989,0.0003681858,0.229705,0.5952877,0.1693186],"study_design_scores_gemma":[0.0000037888,0.000003224923,0.0011058,0.0002412393,0.000002727498,0.00009374729,0.001082527,0.0001400444,0.00008720841,0.006474877,0.9907545,0.00001011836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001368902,0.003180375,0.002677736,0.02680889,0.001604279,0.00008479923,0.001708042,0.0002947635,0.9622723],"genre_scores_gemma":[0.05312454,0.01182678,0.008784977,0.004215709,0.0002697402,0.000134677,0.002271194,0.0004331203,0.9189394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6150592,"threshold_uncertainty_score":0.885306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089347422078255,"score_gpt":0.1843508538457853,"score_spread":0.1772615064237071,"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."}}