{"id":"W2058051789","doi":"10.1109/ccece.2006.277787","title":"Hardware-Software Co-Synthesis of Heterogeneous Embedded Computer Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Fault tolerance; Overhead (engineering); Embedded system; Software; Network topology; Distributed computing; Software fault tolerance; Task (project management); Graph; High-level synthesis; Parallel computing; Field-programmable gate array; Operating system; Theoretical computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004929624,0.0002865916,0.0005639426,0.0002517186,0.00008083641,0.0002004192,0.001447515,0.0001691173,0.00002370229],"category_scores_gemma":[0.00003026524,0.0002516116,0.0001844006,0.0003373031,0.00007054926,0.0003531516,0.0002100821,0.0001019057,0.00009416619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008135026,"about_ca_system_score_gemma":0.00006109801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005117682,"about_ca_topic_score_gemma":0.00001097912,"domain_scores_codex":[0.9973851,0.0002651055,0.0007882337,0.0005747533,0.0005743736,0.0004124035],"domain_scores_gemma":[0.9976457,0.0003947534,0.000317555,0.001308701,0.0002397793,0.00009349726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006277942,0.001583011,0.01316631,0.002317772,0.0005750583,0.0008463754,0.001306863,0.0224261,0.03992564,0.3212928,0.5318791,0.06461823],"study_design_scores_gemma":[0.0005470747,0.0004319736,0.0006573772,0.0004974413,0.00003720921,0.0006599296,0.00003191538,0.1633899,0.8167509,0.002277625,0.0133455,0.001373109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004079786,0.0002260642,0.9866865,0.0000295132,0.0005224476,0.0004845014,0.00001425435,0.001597393,0.006359527],"genre_scores_gemma":[0.7165502,0.000003633626,0.2822697,0.00006626078,0.000244514,0.0001057835,0.000004103686,0.00003041828,0.0007253543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7768253,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400904803384526,"score_gpt":0.2383505498798384,"score_spread":0.2243415018459931,"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."}}