{"id":"W2364373057","doi":"","title":"Terminology Work in China--an Orientation","year":2005,"lang":"en","type":"article","venue":"Terminology Standardization & Information Technology","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Standardization; Computer science; Work (physics); Search engine indexing; Data science; Institution; World Wide Web; Knowledge management; Information retrieval; Engineering; Linguistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002548234,0.0004567492,0.0003873982,0.005687509,0.008457007,0.008040042,0.001019822,0.001396607,0.00689046],"category_scores_gemma":[0.001436227,0.0002412841,0.0004089591,0.01457104,0.007650713,0.006466697,0.003419984,0.00136366,0.0006530891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02235959,"about_ca_system_score_gemma":0.03946953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621557,"about_ca_topic_score_gemma":0.1459686,"domain_scores_codex":[0.9982631,0.0003414096,0.0001778524,0.0002022031,0.0004692261,0.00054619],"domain_scores_gemma":[0.9982702,0.000236893,0.0003184833,0.0001266897,0.0005823481,0.0004654207],"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":[0.00009571616,0.0001141193,0.04286345,0.001811861,0.00003757142,0.002748411,0.05522076,0.0006729071,0.003057779,0.5760148,0.04556362,0.271799],"study_design_scores_gemma":[0.00001979794,0.0001349339,0.1133997,0.000977862,0.00003178805,0.001690701,0.04850917,0.001002722,0.00102833,0.03608927,0.7970084,0.0001074347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3970318,0.1876901,0.00458065,0.1315985,0.003779957,0.0001795914,0.0007227034,0.00026776,0.2741489],"genre_scores_gemma":[0.8328553,0.08267716,0.004043172,0.006847895,0.001324165,0.00009216774,0.0005869424,0.00005970608,0.07151341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621557,"threshold_uncertainty_score":0.3224237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032682418584675,"score_gpt":0.2431236420049089,"score_spread":0.2327968178190621,"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."}}