{"id":"W2897505503","doi":"10.1145/3233244","title":"GPlace3.0","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Field-programmable gate array; Router; Parallel computing; Routing (electronic design automation); Reduction (mathematics); Benchmark (surveying); Embedded system; Computer engineering; Algorithm; Computer network; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003454802,0.0001611845,0.0002063325,0.0002574954,0.00008231545,0.00002612624,0.0002559004,0.0001313707,0.0001461457],"category_scores_gemma":[0.00001524589,0.0001635674,0.00006643689,0.0003419121,0.00004617769,0.0001634085,0.000001128387,0.0001511672,0.0001731247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864383,"about_ca_system_score_gemma":0.00004734579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001172749,"about_ca_topic_score_gemma":0.000003205481,"domain_scores_codex":[0.9988996,0.00008617914,0.0003516242,0.0001517403,0.0002066067,0.0003042454],"domain_scores_gemma":[0.9991947,0.0001359397,0.00006119482,0.0004695884,0.00009408311,0.0000445044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000209741,0.0004364561,0.0000201594,0.0007094403,0.001058294,0.000004594452,0.001981679,0.3613797,0.3839213,0.01256344,0.02402907,0.2136861],"study_design_scores_gemma":[0.0004704187,0.001115723,0.00004594811,0.0001506487,0.00005536844,0.00004236954,0.00007566571,0.5074853,0.4840004,0.001822643,0.004377157,0.0003583945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002990474,0.0002804968,0.9929577,0.00002493279,0.0003044591,0.0004559235,0.000005257516,0.001304521,0.001676289],"genre_scores_gemma":[0.9938956,0.00007317639,0.005440502,0.0000108937,0.00006673197,0.000129601,0.000002603887,0.00003727107,0.000343594],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9909052,"threshold_uncertainty_score":0.6670086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641232852791342,"score_gpt":0.232863703928349,"score_spread":0.2164513754004356,"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."}}