{"id":"W2048553634","doi":"10.7202/1012749ar","title":"A Descriptive Study of Norms in Interpreting: Based on the Chinese-English Consecutive Interpreting Corpus of Chinese Premier Press Conferences","year":2012,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Source text; Norm (philosophy); Linguistics; Interpretation (philosophy); Competence (human resources); Target text; Interpreter; Psychology; Descriptive statistics; Computer science; Social psychology; Epistemology; Mathematics; Statistics; Philosophy","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005278238,0.0003488908,0.000893132,0.0002886109,0.0005495265,0.00002712149,0.000972183,0.0001512254,0.0001752948],"category_scores_gemma":[0.00786077,0.0001911926,0.0002463867,0.0005219674,0.0003662372,0.0002573525,0.0001744436,0.002370418,0.000002780173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271144,"about_ca_system_score_gemma":0.0002999999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131431,"about_ca_topic_score_gemma":0.0004138166,"domain_scores_codex":[0.9898767,0.007083038,0.001682973,0.000239575,0.0005156266,0.0006020506],"domain_scores_gemma":[0.9900763,0.00639226,0.001519095,0.0006645377,0.001166397,0.0001814016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007218484,0.0005914167,0.7843687,0.0001635403,0.0002931967,0.000001648815,0.2121626,0.000114512,0.0001114382,0.0006023942,0.0000755031,0.0007931714],"study_design_scores_gemma":[0.003573943,0.003067225,0.7083226,0.006175948,0.0005824222,0.00003160284,0.2668102,0.005354662,0.0004815264,0.004018925,0.0008659864,0.0007149407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884762,0.002673185,0.0004541106,0.0002902617,0.001284906,0.001134511,0.00003297409,0.0000312687,0.005622558],"genre_scores_gemma":[0.9988011,0.0002657737,0.0002364471,0.0002545901,0.0001431466,0.0002061149,0.000003204272,0.00003535837,0.00005425557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07604606,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286224959267134,"score_gpt":0.395392261332091,"score_spread":0.3025300117394197,"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."}}