{"id":"W2982364953","doi":"10.14746/cl.2019.37.5","title":"PREFACE (FERNANDO PRIETO RAMOS, GUEST EDITOR)","year":2019,"lang":"en","type":"article","venue":"Comparative Legilinguistics","topic":"Legal Language and Interpretation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Norwegian; Legal translation; Civil code; Translation studies; Competence (human resources); Linguistics; Thematic structure; Library science; Political science; Computer science; Law; Philosophy; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002440802,0.001739257,0.001391704,0.003009352,0.002193283,0.006241942,0.002000215,0.003175826,0.06231582],"category_scores_gemma":[0.01596606,0.0005236199,0.000680593,0.001785558,0.001044334,0.004593981,0.002348582,0.007068402,0.04595878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205459,"about_ca_system_score_gemma":0.002348412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745895,"about_ca_topic_score_gemma":0.003393169,"domain_scores_codex":[0.9981413,0.0002964985,0.0001721027,0.000363566,0.0009110789,0.0001154459],"domain_scores_gemma":[0.988417,0.003298701,0.0006180434,0.0003268316,0.006089662,0.001249881],"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":[0.000009953126,0.000005616078,0.0000218813,0.00007864375,0.000001371142,0.00003258414,0.00003336725,0.00001441204,0.00003695218,0.000362101,0.9913206,0.008082545],"study_design_scores_gemma":[0.000004396038,0.000007466353,0.0001801434,0.0001766489,0.000002291548,0.00009284972,0.00007540692,0.00003025489,0.00004089042,0.0003742638,0.9990082,0.000007082903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000121844,0.01268782,0.0003178293,0.0663643,0.9090914,0.00003829839,0.0001914799,0.0001042722,0.01108276],"genre_scores_gemma":[0.002374402,0.017983,0.0005382856,0.04814544,0.8213719,0.0001315983,0.0003349642,0.0003095033,0.1088109],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06231582,"threshold_uncertainty_score":0.2084672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419481971749691,"score_gpt":0.3575382809084846,"score_spread":0.3333434611909876,"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."}}