{"id":"W4285525802","doi":"10.7202/1088356ar","title":"The role of registerial expertise in translators’ logical choices: A case study of the Chinese medicine classic Huang Di Nei Jing","year":2021,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Logical consequence; Psychology; Logical conjunction; Relation (database); Logical reasoning; Logical analysis; Computer science; Linguistics; Social psychology; Artificial intelligence; Mathematics education; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0125317,0.0005793262,0.000620294,0.001896692,0.009152055,0.003290469,0.001397592,0.002601433,0.00621968],"category_scores_gemma":[0.03356998,0.0005393717,0.0005480084,0.002006086,0.007083065,0.00397346,0.003421528,0.002804533,0.0006311273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004026899,"about_ca_system_score_gemma":0.003911502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007809113,"about_ca_topic_score_gemma":0.01974467,"domain_scores_codex":[0.9883238,0.008935771,0.0005302301,0.000566542,0.0009641654,0.0006794596],"domain_scores_gemma":[0.9589533,0.03379028,0.002937114,0.001084471,0.001735898,0.00149896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00010095,0.0001510675,0.01247111,0.000324773,0.00001532791,0.03485412,0.9366802,0.0001029945,0.0008227113,0.003793213,0.0009036052,0.009779941],"study_design_scores_gemma":[0.00004915338,0.0002149378,0.01295599,0.0004702469,0.00007395155,0.02450637,0.9370668,0.001000464,0.001501941,0.003759818,0.01832734,0.0000729585],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864426,0.00071344,0.001661672,0.003129274,0.00003978653,0.00007015347,0.00002505799,0.000009753335,0.007908283],"genre_scores_gemma":[0.9952917,0.000537467,0.001339049,0.0004361249,0.00002955341,0.00004722878,0.00001636734,0.0000150814,0.002287452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125317,"threshold_uncertainty_score":0.06627476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09200654012350136,"score_gpt":0.3127998303358342,"score_spread":0.2207932902123328,"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."}}