{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489366,0.00005873514,0.00006295522,0.0001584087,0.00003750859,0.00001558522,0.0001085301,0.00002296109,0.000614063],"category_scores_gemma":[0.00006953796,0.00004540124,0.000005501631,0.0005647505,0.0003252057,0.001947524,0.00004564211,0.00001425008,0.000004721226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836355,"about_ca_system_score_gemma":0.00007370178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630365,"about_ca_topic_score_gemma":0.01127199,"domain_scores_codex":[0.9992271,0.00001034385,0.0001689673,0.0001862339,0.0002527135,0.0001546555],"domain_scores_gemma":[0.9997458,0.000009045026,0.00004773682,0.00009913925,0.00002974333,0.00006854267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002230547,0.0002513408,0.7066075,0.00004704981,0.000003826803,3.23038e-7,0.002907674,0.00002733915,0.0694622,0.00097593,0.004680412,0.2150141],"study_design_scores_gemma":[0.0007041708,0.0000230267,0.9540982,0.00004337431,0.000003589884,2.302985e-7,0.003286898,0.00005264802,0.02219598,0.0007410908,0.01868394,0.0001668625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629923,0.00001165063,0.0002402564,0.00158139,0.00008011413,0.0002305584,0.000002396415,0.000004935263,0.03485639],"genre_scores_gemma":[0.9985382,0.00004205363,0.0008125971,0.00005601123,0.000003740588,0.00001586846,0.000007526106,0.000003511402,0.0005205167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474906,"threshold_uncertainty_score":0.9902469,"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."}}