{"id":"W1782511062","doi":"10.3968/j.ccc.1923670020050102.018","title":"Comparison between Chinese and English Headlines and the Translation from English Headlines to Chinese Headlines","year":2010,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literal translation; Humanities; Linguistics; Rhetoric; Grammar; Art; Philosophy; Source text","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":[0.005692589,0.0003805852,0.0002911218,0.006417589,0.001627159,0.00330806,0.0004028699,0.0002675701,0.01418742],"category_scores_gemma":[0.02393295,0.0002143667,0.000195331,0.01213934,0.002259212,0.001979929,0.001029395,0.0006093645,0.001601142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347349,"about_ca_system_score_gemma":0.004618416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03291621,"about_ca_topic_score_gemma":0.04353393,"domain_scores_codex":[0.9960006,0.00169568,0.0004296763,0.0002956756,0.001323314,0.0002550459],"domain_scores_gemma":[0.9757763,0.01482239,0.00207117,0.001137398,0.005827442,0.0003651911],"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":[0.0009268686,0.000142411,0.05063462,0.004547,0.0001173574,0.001738122,0.5114681,0.0004693935,0.01091679,0.05129299,0.02923724,0.3385091],"study_design_scores_gemma":[0.0001122568,0.0006699324,0.2759126,0.001925183,0.0002930746,0.001103971,0.2632515,0.00130017,0.0184389,0.004631209,0.4321474,0.0002137725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6969081,0.00459738,0.008239615,0.003550747,0.001130196,0.0003722087,0.003060883,0.0003040725,0.2818369],"genre_scores_gemma":[0.9628271,0.002982542,0.006817081,0.0004616807,0.0003084324,0.0001860901,0.001756722,0.0003124195,0.02434796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03291621,"threshold_uncertainty_score":0.06544924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437398214639617,"score_gpt":0.3717988223195609,"score_spread":0.3174248401731647,"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."}}