{"id":"W2994114220","doi":"","title":"Error Analysis in Consecutive Interpreting of Students With Chinese and English Language Pairs","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noun; Cognition; Computer science; Face (sociological concept); Error analysis; Process (computing); Cognitive psychology; Logical analysis; Psychology; Linguistics; Mathematics education; Natural language processing; Statistics; Mathematics","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":[0.01148962,0.0004809991,0.0006245968,0.003025146,0.001424492,0.001875646,0.001115424,0.0007948258,0.002638815],"category_scores_gemma":[0.1076102,0.0002992512,0.0006336775,0.002028363,0.001614184,0.001938797,0.002212072,0.001143229,0.0004499181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786462,"about_ca_system_score_gemma":0.002210466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007094997,"about_ca_topic_score_gemma":0.007961095,"domain_scores_codex":[0.9861246,0.003928822,0.002756582,0.00138432,0.004893314,0.0009124071],"domain_scores_gemma":[0.871834,0.0782942,0.01634752,0.005449497,0.02662185,0.001452987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009711339,0.000642113,0.6655765,0.0005696023,0.0001008879,0.002365326,0.2307481,0.0006364213,0.00584855,0.001611207,0.001108188,0.08982198],"study_design_scores_gemma":[0.00004376462,0.001466409,0.7608659,0.0003100617,0.0002188836,0.003036412,0.1898217,0.005766856,0.02742614,0.003500283,0.007321586,0.0002219077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971033,0.00008469206,0.001180534,0.00007307935,0.00001904426,0.00006640758,0.0000613111,0.00001667977,0.001395014],"genre_scores_gemma":[0.9955946,0.00009799329,0.002016564,0.00005992347,0.000009264356,0.00008883124,0.0001674434,0.00001869571,0.001946649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01148962,"threshold_uncertainty_score":0.0607636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435741905291308,"score_gpt":0.4405276462311634,"score_spread":0.4061702271782503,"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."}}