{"id":"W7081586691","doi":"","title":"Legal Translation and Court Interpreting: Ethical Values, Quality, Competence Training","year":2022,"lang":"en","type":"other","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Test (biology); Quality assessment; Legal translation; Quality (philosophy); Language assessment; Competency assessment","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":[0.03132826,0.0005305121,0.0004551848,0.003574065,0.006707021,0.01452528,0.001384626,0.003501332,0.00662653],"category_scores_gemma":[0.08369571,0.0002870554,0.0003266821,0.004032154,0.02125395,0.008050019,0.005397899,0.00277089,0.001034975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01145878,"about_ca_system_score_gemma":0.0249517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207085,"about_ca_topic_score_gemma":0.02166972,"domain_scores_codex":[0.9577421,0.02425974,0.00273251,0.00182796,0.01173639,0.001701327],"domain_scores_gemma":[0.9478665,0.03369934,0.00398355,0.003713084,0.008524539,0.002213016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003778965,0.0001036021,0.007848497,0.000305363,0.00001308331,0.0005777908,0.02876339,0.001150799,0.0004166078,0.7308807,0.01448291,0.2154194],"study_design_scores_gemma":[0.00003561357,0.0001254651,0.03251591,0.00169307,0.00004056116,0.001965992,0.04134195,0.006995742,0.003152802,0.628238,0.2837132,0.0001818489],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07959542,0.005533075,0.09129531,0.06235117,0.0007996353,0.0004006889,0.0002129021,0.0003179708,0.7594938],"genre_scores_gemma":[0.9257259,0.002121696,0.03785777,0.002426155,0.0002840812,0.0002512451,0.0001462598,0.00009862601,0.03108832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03132826,"threshold_uncertainty_score":0.1656817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402600464233442,"score_gpt":0.3042066217187243,"score_spread":0.2501806170763898,"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."}}