{"id":"W4392361635","doi":"10.1109/giis59465.2024.10449907","title":"Case study of WebAssembly Runtimes for AI Applications on the Edge","year":2024,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Parallel computing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000480714,0.00004595572,0.00004277199,0.00003281124,0.00004005517,0.00003098592,0.00004456474,0.00001438979,0.00004513305],"category_scores_gemma":[0.000002496313,0.00002869905,0.00001698365,0.00007079179,0.000003385248,0.00002994206,0.000006167488,0.00003512939,0.000007484366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006137136,"about_ca_system_score_gemma":0.000004195629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001548881,"about_ca_topic_score_gemma":0.0000203187,"domain_scores_codex":[0.9997731,0.000002452759,0.00007624079,0.00006550917,0.00003446569,0.00004821821],"domain_scores_gemma":[0.9997867,0.00007646978,0.000004671749,0.000106661,0.00001617295,0.000009305583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006636765,0.0002807812,0.0000604788,0.001017686,0.0002039505,0.00002427108,0.003354813,0.8949603,0.0001676612,0.03859122,0.02040831,0.04092387],"study_design_scores_gemma":[0.0002337039,0.0001400853,0.00003874447,0.0000275403,0.00006991917,0.0000285978,0.002271659,0.9500338,0.0159933,0.000643743,0.03034704,0.0001718542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2229259,0.000208806,0.7617918,0.0003472279,0.0001917007,0.001680609,0.00001315198,0.0005567836,0.01228399],"genre_scores_gemma":[0.9987801,0.000005038334,0.0002891828,0.00002357757,0.00003552211,0.0003141775,0.000001713029,0.00001237391,0.000538328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7758542,"threshold_uncertainty_score":0.1170313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838738546097879,"score_gpt":0.2595977289829755,"score_spread":0.2412103435219967,"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."}}