{"id":"W3123557298","doi":"10.3968/11986","title":"A Literature Review on Translation of Academic Literature on Economics","year":2020,"lang":"en","type":"review","venue":"Cross-cultural communication","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexis; Status quo; Translation studies; Foundation (evidence); Selection (genetic algorithm); Positive economics; Syntax; Sociology; Engineering ethics; Management science; Political science; Economics; Linguistics; Computer science; Engineering; Philosophy; Law; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006120997,0.0008399212,0.001591988,0.01601542,0.00128655,0.003708289,0.001240633,0.001684215,0.01212808],"category_scores_gemma":[0.02725681,0.000501283,0.001213193,0.02546154,0.001735899,0.004575623,0.001860556,0.001987243,0.002775753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258643,"about_ca_system_score_gemma":0.01076697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649368,"about_ca_topic_score_gemma":0.005378529,"domain_scores_codex":[0.9954323,0.001635846,0.0009882777,0.0004882097,0.001291489,0.0001638853],"domain_scores_gemma":[0.9680917,0.02412525,0.002103832,0.0006346244,0.004611744,0.0004328956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007885462,0.0000847381,0.0008023925,0.1649138,0.0002017,0.000566257,0.001978166,0.0003085853,0.0007120135,0.02148511,0.06910637,0.7397619],"study_design_scores_gemma":[0.00001085446,0.00005893581,0.003080116,0.1876666,0.0004528254,0.00106851,0.001625091,0.0001144064,0.0003485419,0.006310863,0.7992304,0.00003285181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005702489,0.9897414,0.0006827785,0.003172586,0.0009197994,0.00003475369,0.0001648747,0.00002099075,0.00469248],"genre_scores_gemma":[0.003493749,0.9931798,0.0007974435,0.001344165,0.0004209654,0.00004299699,0.0001703648,0.00001008148,0.00054047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962917,"threshold_uncertainty_score":0.04057246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491127227125569,"score_gpt":0.4055944254746935,"score_spread":0.2564817027621366,"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."}}