{"id":"W2103079270","doi":"10.1109/ccece.2003.1226268","title":"Hardware-software co-synthesis of partially re-configurable embedded systems optimized for reduced power consumption","year":2004,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control reconfiguration; Computer science; Field-programmable gate array; Scheduling (production processes); Embedded system; Locality; Software; Power consumption; Overhead (engineering); Distributed computing; Power (physics); Operating system; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001650199,0.0003271013,0.0007576521,0.0002494602,0.0001400025,0.0002253677,0.001168237,0.000259178,0.00007011944],"category_scores_gemma":[0.0006630474,0.0002975744,0.0002391449,0.000265659,0.00009411197,0.0006601892,0.00007802409,0.0001205617,0.00006206652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827406,"about_ca_system_score_gemma":0.0002859772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001547315,"about_ca_topic_score_gemma":0.000006925059,"domain_scores_codex":[0.9969561,0.0002770922,0.001019729,0.0007063561,0.0005182086,0.000522573],"domain_scores_gemma":[0.9967041,0.0007846696,0.0005301156,0.001315132,0.0004973825,0.0001686063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009840574,0.001271724,0.0003910493,0.002952529,0.0009754261,0.00008606125,0.0063083,0.0350143,0.4817972,0.3972662,0.06601776,0.006935357],"study_design_scores_gemma":[0.001710193,0.0003307748,0.00004400151,0.0005980897,0.00004282131,0.00004279161,0.000145513,0.009974979,0.9830844,0.002292839,0.001136007,0.0005976308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003254607,0.0001786095,0.9886494,0.0001684757,0.0004735399,0.001962647,0.00003431654,0.001363913,0.003914457],"genre_scores_gemma":[0.6069081,0.00001688658,0.3915562,0.0000712243,0.00003488779,0.0007636608,0.000007725162,0.00003556855,0.000605777],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6036535,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772941764790064,"score_gpt":0.2918317319112799,"score_spread":0.2541023142633793,"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."}}