{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509239,0.0001358222,0.0001438847,0.00006203697,0.00004973022,0.00005262132,0.00011589,0.00006819457,0.00006962578],"category_scores_gemma":[0.00003426474,0.0001088027,0.00007166693,0.0001042616,0.00001609988,0.00002821788,0.00001484812,0.00009271154,0.00001010031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001813119,"about_ca_system_score_gemma":0.000006822117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007797099,"about_ca_topic_score_gemma":0.0000586748,"domain_scores_codex":[0.9993207,0.00001180943,0.0001530523,0.0001312533,0.00006998934,0.0003132349],"domain_scores_gemma":[0.9996969,0.00006793574,0.00001630248,0.0001448213,0.00002540052,0.00004869028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002090243,0.0002728812,0.02320948,0.0005889627,0.0004086062,0.00008672009,0.002017194,0.06195492,0.109868,0.05158443,0.02457281,0.725227],"study_design_scores_gemma":[0.001907934,0.0007028877,0.004108517,0.0001334185,0.00008857565,0.0001360229,0.0003401939,0.6228006,0.2496548,0.09212851,0.02642169,0.001576792],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1515797,0.0002063408,0.8129085,0.00007109539,0.0000769379,0.0007716781,0.000002762663,0.003483099,0.03089996],"genre_scores_gemma":[0.9365973,0.00001544485,0.06232621,0.0001290296,0.00006018778,0.0001812412,0.000006476328,0.00003375158,0.0006503119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7850177,"threshold_uncertainty_score":0.4436844,"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."}}