{"id":"W1899754561","doi":"10.3968/j.css.1923669720080406.005","title":"On Translating English Attributive Clauses into Chinese","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attributive; Proposition; Linguistics; 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":[0.001743546,0.0005786987,0.0001944704,0.0006844566,0.001260747,0.001151084,0.0005970562,0.0003812212,0.009339741],"category_scores_gemma":[0.003431136,0.0002304351,0.0003085615,0.001966713,0.002532141,0.002278956,0.001102345,0.0005630431,0.001387358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836196,"about_ca_system_score_gemma":0.003566882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03551869,"about_ca_topic_score_gemma":0.02823135,"domain_scores_codex":[0.9992054,0.0003140942,0.0000538724,0.0001266054,0.0002346233,0.00006540772],"domain_scores_gemma":[0.9989269,0.0005437686,0.00004886027,0.0001179095,0.0003439272,0.00001862792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004636957,0.0001230318,0.004574977,0.002128134,0.00004984961,0.001155304,0.03862173,0.006156017,0.04599154,0.2772596,0.01728542,0.6061907],"study_design_scores_gemma":[0.0004463922,0.0009266657,0.0309175,0.001254674,0.0003820184,0.002226962,0.03286766,0.04635083,0.237596,0.1092247,0.5374054,0.0004013105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3276879,0.005002536,0.298236,0.006670993,0.001208283,0.001446057,0.001071671,0.001732426,0.3569441],"genre_scores_gemma":[0.7159087,0.00744822,0.2271846,0.0009224915,0.0002080944,0.0004343487,0.001030707,0.0004276388,0.04643522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03551869,"threshold_uncertainty_score":0.07062393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809345339484318,"score_gpt":0.2841441354273384,"score_spread":0.2560506820324951,"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."}}