{"id":"W4408533705","doi":"10.5539/ijel.v15n2p127","title":"Exploring the Application of Reiss’s Text Typology Theory in the Translation of Traditional Chinese Medicine Classics—Taking Ben Cao Gang Mu (Compendium of Materia Medica) as an Example","year":2025,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materia medica; Compendium; Typology; Traditional medicine; Philosophy; Classics; Psychology; Linguistics; Sociology; Medicine; Alternative medicine; Art","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":[0.01819951,0.001037057,0.00069216,0.007005733,0.00388519,0.006724094,0.001478641,0.001666413,0.003606986],"category_scores_gemma":[0.04290063,0.0004723422,0.000832668,0.006274851,0.01247979,0.01699637,0.004176171,0.002032116,0.0004542737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006492789,"about_ca_system_score_gemma":0.003741273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556437,"about_ca_topic_score_gemma":0.00352299,"domain_scores_codex":[0.9782421,0.01766426,0.000857936,0.001107627,0.001787153,0.0003409883],"domain_scores_gemma":[0.9356576,0.05626126,0.002188025,0.002141741,0.003413061,0.0003382719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001380106,0.0001309856,0.007864532,0.000768131,0.00006601466,0.001117646,0.3254108,0.001563721,0.001655685,0.5494009,0.001816451,0.1100671],"study_design_scores_gemma":[0.0001616589,0.0002648954,0.01068521,0.001613821,0.0001368761,0.001589583,0.3147795,0.03692617,0.004833554,0.5531428,0.07570415,0.0001616764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3821321,0.002911154,0.4325475,0.01176239,0.0006429629,0.001357239,0.0002392507,0.0002517471,0.1681557],"genre_scores_gemma":[0.9170579,0.000859224,0.07699093,0.0005205866,0.00008826578,0.0007940228,0.0001082336,0.0001275875,0.003453273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01819951,"threshold_uncertainty_score":0.09624934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1297823738653584,"score_gpt":0.3914951044789391,"score_spread":0.2617127306135807,"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."}}