{"id":"W4387426875","doi":"10.1007/978-3-031-44696-2","title":"Natural Language Processing and Chinese Computing","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Microsoft Research Asia; University of California, San Diego; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition; Beijing Language and Culture University; Beijing Institute of Technology; Sichuan University; Institute of Automation, Chinese Academy of Sciences; Fudan University; University of Essex; University of Southern California; University of South China; Chongqing University; Chinese Academy of Sciences; University of Melbourne; Eidgenössische Technische Hochschule Zürich; Emory University; University of Texas at Austin; National University of Singapore; Harbin Institute of Technology; University of Alberta; Soochow University; Chongqing University of Posts and Telecommunications; Microsoft Research; Beijing University of Posts and Telecommunications; Tencent","keywords":"Computer science; Programming language; Natural language processing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004634059,0.0003660687,0.0003472074,0.0005476826,0.0003601494,0.0005434302,0.001872665,0.0001528159,6.650959e-7],"category_scores_gemma":[0.00008363454,0.0003188523,0.00005797595,0.00167903,0.0003686731,0.0005064348,0.001634802,0.0007487135,0.0000124864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087141,"about_ca_system_score_gemma":0.0004788476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005550418,"about_ca_topic_score_gemma":0.00001574515,"domain_scores_codex":[0.9973605,0.00002481815,0.000352709,0.001197144,0.0005843135,0.0004804676],"domain_scores_gemma":[0.9984038,0.0004973455,0.0002212254,0.0006140429,0.0001572831,0.0001062345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.809756e-7,0.00001132859,0.00003109056,0.00005289249,0.000002657852,0.00003667867,0.001040871,0.01644585,0.0001016712,0.001941413,0.00003298666,0.9803018],"study_design_scores_gemma":[0.00009480815,0.00002654834,0.0005503256,0.000231925,0.000001909096,0.0000628865,2.86225e-7,0.8845447,0.00006883501,0.1139089,0.0001556412,0.0003531871],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003535508,0.001027673,0.9962142,0.0006156484,0.0004200021,0.0003098019,0.000002742587,0.000686584,0.0003697738],"genre_scores_gemma":[0.2691488,0.00001760072,0.7286436,0.0009263132,0.0004500899,0.00001421087,0.00001424629,0.00003528125,0.0007498444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9799486,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00925837318026936,"score_gpt":0.303318076187175,"score_spread":0.2940597030069057,"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."}}