{"id":"W4247189306","doi":"10.1109/hpcc/smartcity/dss.2019.00004","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"State Grid Jiangsu Electric Power; University of Chinese Academy of Sciences; Beijing University of Technology; Nanjing University of Posts and Telecommunications; Southern University of Science and Technology; Tianjin University; Nanjing University; University of Waterloo; Tsinghua University; National University of Defense Technology; Jilin University; Linköpings Universitet; Hunan University; University of Notre Dame; Sun Yat-sen University; Swinburne University of Technology; Đại học Công nghiệp Hà Nội; Chinese Academy of Sciences; Tianjin University of Technology; Beijing University of Posts and Telecommunications; Guangdong University of Technology; Temple University; Texas State University; University of Science and Technology of China; University of Connecticut","keywords":"Table (database); Computer science; Information retrieval; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005899815,0.0009655061,0.0009345569,0.004427899,0.001465493,0.003296902,0.001414423,0.0008701386,0.8600671],"category_scores_gemma":[0.006400293,0.0002930455,0.0004744855,0.003254489,0.0003094719,0.001660346,0.001586581,0.0009465366,0.8187847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298428,"about_ca_system_score_gemma":0.002544126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136222,"about_ca_topic_score_gemma":0.005177279,"domain_scores_codex":[0.9994673,0.00006300284,0.00002735321,0.00008619347,0.0003063294,0.00004980348],"domain_scores_gemma":[0.9968034,0.0005578581,0.0001254998,0.0003314894,0.001739146,0.000442652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002802448,0.0000419369,0.0001818684,0.000207996,0.000004334644,0.00002470905,0.00001149729,0.0001341072,0.0002501542,0.001187674,0.9305032,0.06742443],"study_design_scores_gemma":[0.000008280538,0.00002085403,0.0004281149,0.0001792391,0.000005328106,0.00004477031,0.00002553525,0.00008309148,0.0002168752,0.001105013,0.997876,0.000006704288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006977376,0.003182471,0.003884056,0.002752123,0.008115606,0.0008385805,0.06777152,0.002883433,0.9098745],"genre_scores_gemma":[0.002641118,0.002984044,0.00242297,0.001865489,0.001808813,0.0005398772,0.04562438,0.001120998,0.9409922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1399329,"threshold_uncertainty_score":0.1995974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320127106106798,"score_gpt":0.235748946535789,"score_spread":0.222547675474721,"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."}}