{"id":"W3045976887","doi":"10.7202/1070539ar","title":"The shape of translation policy: a comparison of policy determinants in Bangor and Brownsville","year":2020,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parallels; Translation studies; Field (mathematics); Translation (biology); Political science; Positive economics; Sociology; Linguistics; Economics; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685789,0.00009719689,0.0003280658,0.0001050821,0.0002592831,0.00008334759,0.0001098982,0.00001912253,0.00007369422],"category_scores_gemma":[0.00007190875,0.00006037998,0.0001103153,0.0001202202,0.0003108938,0.0002864305,0.000008256313,0.0001501726,8.254111e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000666295,"about_ca_system_score_gemma":0.00004410926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003791587,"about_ca_topic_score_gemma":0.001736705,"domain_scores_codex":[0.9990042,0.0001354574,0.0004736568,0.0000814642,0.0001659753,0.00013925],"domain_scores_gemma":[0.9992362,0.0003137825,0.0002755499,0.00005398575,0.00006334199,0.00005711192],"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":[0.0002009746,0.00006204977,0.00560089,0.0000943987,0.0003153335,0.000001647557,0.05813462,0.00003198635,0.0005668526,0.01522287,0.00009739013,0.919671],"study_design_scores_gemma":[0.001324607,0.0005474443,0.01854038,0.00005829981,0.0005365363,0.00002486277,0.007088303,0.001463575,0.001204548,0.006145396,0.9628505,0.0002156032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466899,0.132871,0.0001307857,0.01688425,0.0001326047,0.0002016797,0.00004656121,0.00001181879,0.003031333],"genre_scores_gemma":[0.986064,0.0134264,0.000126508,0.00009457812,0.0002515086,0.000001970527,3.811259e-7,0.000008803546,0.00002587797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9627531,"threshold_uncertainty_score":0.2462224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1512453490585121,"score_gpt":0.3401765207703201,"score_spread":0.1889311717118079,"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."}}