{"id":"W2063358347","doi":"10.1145/2818950.2818970","title":"Architecture Exploration for Data Intensive Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Computer science; Compass; Flexibility (engineering); Architecture; Computer architecture; Software; Software architecture; Embedded system; Computer architecture simulator; Distributed computing; Operating system","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":[0.000206742,0.00005309449,0.00005789653,0.00005179019,0.00005548114,0.00008609471,0.0009467226,0.00002539542,6.33492e-7],"category_scores_gemma":[0.0001163913,0.00004508858,0.00001237396,0.0001682915,0.0000127269,0.0003896439,0.0003194693,0.00003663888,0.00001351298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001082277,"about_ca_system_score_gemma":0.00005508683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006449013,"about_ca_topic_score_gemma":0.000003310183,"domain_scores_codex":[0.9994588,0.00001704807,0.0001009089,0.0002521678,0.00008385067,0.00008721972],"domain_scores_gemma":[0.9986757,0.00004798942,0.00004141613,0.0007894657,0.0003879441,0.00005749223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008884816,0.00005389168,0.0000232951,0.00001037395,0.0000149055,4.769774e-7,0.001278502,0.02169348,0.0000582035,0.3454518,0.3661158,0.2652904],"study_design_scores_gemma":[0.0001251369,0.0000352749,0.000001579104,0.000002434193,0.000001745592,0.000003233322,0.00004698077,0.7941155,0.0005030331,0.06635714,0.1387289,0.00007900166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003168768,0.00003433783,0.9925916,0.003937752,0.00005610641,0.0003249687,0.000003407276,0.0005763462,0.002472355],"genre_scores_gemma":[0.008895665,0.000003699293,0.9894349,0.001001477,0.00006658994,0.000101109,0.00009717831,0.000004210677,0.0003951794],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.772422,"threshold_uncertainty_score":0.1838659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482648559649719,"score_gpt":0.3432189633478697,"score_spread":0.1949541073828978,"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."}}