{"id":"W2123802188","doi":"10.1145/360276.360300","title":"Detailed routing architectures for embedded programmable logic IP cores","year":2001,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Application-specific integrated circuit; Routing (electronic design automation); Logic block; Programmable logic device; Block (permutation group theory); Computer science; Field-programmable gate array; Programmable logic array; Channel (broadcasting); Programmable Array Logic; Chip; Logic synthesis; Parallel computing; Simple programmable logic device; Logic gate; Computer hardware; Logic family; Embedded system; Algorithm; Mathematics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294964,0.0003398666,0.0002113192,0.0002721136,0.0001510689,0.0004178064,0.0005130852,0.0002301413,0.002813376],"category_scores_gemma":[0.0005328712,0.0002330623,0.0001859644,0.000349071,0.0001791123,0.0007171383,0.0002602556,0.00029381,0.0005010727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004295977,"about_ca_system_score_gemma":0.0003279108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004168494,"about_ca_topic_score_gemma":0.00169119,"domain_scores_codex":[0.9998759,0.00002429158,0.000009987678,0.00002035725,0.00004657457,0.0000228421],"domain_scores_gemma":[0.9997467,0.00007479477,0.00004624287,0.00006894124,0.00004955612,0.00001372054],"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":[0.0003193514,0.00008201368,0.0008602255,0.0002805669,0.00005322379,0.0001553493,0.00008847621,0.5304756,0.1558972,0.08508708,0.005874225,0.2208268],"study_design_scores_gemma":[0.00006584448,0.0006314903,0.001436075,0.0000297436,0.00004967008,0.0003016318,0.0000274311,0.9069355,0.034879,0.03083726,0.02477421,0.00003220464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2462533,0.001605223,0.726402,0.0002397868,0.00008337425,0.0001144282,0.0002448751,0.002635514,0.02242148],"genre_scores_gemma":[0.6710914,0.0007636979,0.3183617,0.0001546027,0.00003452848,0.0001117347,0.0005794326,0.0001690949,0.008733794],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002813376,"threshold_uncertainty_score":0.009411633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181847729736442,"score_gpt":0.2526746141540688,"score_spread":0.2308561368567044,"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."}}