{"id":"W4244496524","doi":"10.5040/9781474292320.0016","title":"Comparing Multilingual Practices in the EU and the Canadian Legal Systems: The Case of Terminological Choices in Legislative Drafting The work of the author has been supported by the Polish National Science Centre funds allocated on the basis of decision no. DEC-20137/11/D/HS5/01822.","year":2018,"lang":"en","type":"book-chapter","venue":"Bloomsbury Methuen Drama eBooks","topic":"Legal Language and Interpretation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislature; Work (physics); Political science; Public administration; Law; Engineering ethics; Library science; Engineering; Computer science; Mechanical engineering","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01301016,0.000351786,0.0005064307,0.0002045004,0.002177721,0.0007023562,0.00244093,0.0003242116,0.00005975859],"category_scores_gemma":[0.007445544,0.0001244626,0.0001914706,0.0003598569,0.008153695,0.0002772391,0.0003038161,0.001027207,0.000002793998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236651,"about_ca_system_score_gemma":0.001703921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3941416,"about_ca_topic_score_gemma":0.6173452,"domain_scores_codex":[0.9940895,0.002458534,0.0009732227,0.0004893374,0.001482303,0.0005071471],"domain_scores_gemma":[0.9859764,0.01055661,0.001843736,0.0007126773,0.0008317101,0.00007885008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006662395,0.0001355665,0.002736429,0.00006269205,0.0004309248,0.0001009376,0.718118,0.0001024269,0.0003274308,0.2675261,0.001650239,0.008143057],"study_design_scores_gemma":[0.005512645,0.0006399793,0.0106967,0.005663611,0.001832645,0.0004469063,0.2883796,0.01621366,0.004314011,0.008734426,0.6555434,0.002022335],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6629658,0.0009695715,0.000004230163,0.007452261,0.0005321595,0.00309016,0.0001222838,0.00001710545,0.3248464],"genre_scores_gemma":[0.9913023,0.00001340942,0.00002835433,0.0006308919,0.0002249583,0.00005029932,0.000005837539,0.00001999639,0.007723921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6538932,"threshold_uncertainty_score":0.9991213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08062050448646282,"score_gpt":0.3454012268839775,"score_spread":0.2647807223975146,"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."}}