{"id":"W2061217021","doi":"10.1145/605440.605449","title":"A search-based bump-and-refit approach to incremental routing for ECO applications in FPGAs","year":2002,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Netlist; Computer science; Routing (electronic design automation); Place and route; Process (computing); Field-programmable gate array; Physical design; Context (archaeology); Placement; Multipath routing; Parallel computing; Distributed computing; Static routing; Embedded system; Circuit design; Routing protocol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006373212,0.0002085165,0.0002775384,0.0005281988,0.0001233059,0.00004219698,0.0002474285,0.0001227309,0.00001246985],"category_scores_gemma":[0.00003539353,0.0002360249,0.0000687139,0.0006599975,0.00002075571,0.0001472303,0.00000209475,0.0002292355,0.00001570672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008322601,"about_ca_system_score_gemma":0.00005325858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003331892,"about_ca_topic_score_gemma":0.00001553529,"domain_scores_codex":[0.9983575,0.0001270411,0.0004888538,0.0002835819,0.0002470361,0.000496021],"domain_scores_gemma":[0.9988715,0.0005259259,0.00007041146,0.0003980341,0.00005595262,0.00007819718],"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":[0.0000120706,0.0001203054,0.000008248152,0.0001638798,0.00005029882,4.371128e-8,0.0002820173,0.9902824,0.001944407,0.001657749,0.00004913895,0.005429402],"study_design_scores_gemma":[0.0007609986,0.0002682915,0.0000545215,0.00005022495,0.00002703666,0.000004921995,0.00009905821,0.9896532,0.008525562,0.00008409093,0.0002730136,0.0001990775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02609739,0.0003672889,0.9701787,0.0000637475,0.00006650342,0.002712333,0.00001775731,0.0002910355,0.0002052223],"genre_scores_gemma":[0.9867156,0.00002015869,0.01102561,0.00001747035,0.00002486788,0.00206977,0.00001729546,0.00005349763,0.00005578037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9606181,"threshold_uncertainty_score":0.9624817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369118164859067,"score_gpt":0.238357428117454,"score_spread":0.2146662464688633,"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."}}