{"id":"W2514038949","doi":"10.1109/iscas.2016.7527478","title":"Efficient ILP-based variant-grid analog router","year":2016,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Router; Computer science; Routing (electronic design automation); Static routing; Policy-based routing; Integer programming; Linear programming; Link-state routing protocol; Equal-cost multi-path routing; Multipath routing; Computer network; Distributed computing; Routing protocol; Algorithm","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":[0.00008603206,0.00009847257,0.00009134426,0.00007080095,0.00001797829,0.00001420751,0.00009985352,0.00005928865,0.0005974937],"category_scores_gemma":[0.000006870393,0.00005943846,0.00004546153,0.000071627,0.00001522704,0.00002279434,0.000009869935,0.00003898494,0.0002377392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003834868,"about_ca_system_score_gemma":0.000007564745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006759191,"about_ca_topic_score_gemma":0.000002677562,"domain_scores_codex":[0.999493,0.000009490976,0.0001133355,0.0001101375,0.00008560655,0.000188455],"domain_scores_gemma":[0.9996753,0.00003837725,0.000007854775,0.000205991,0.00001708126,0.00005542861],"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":[0.00003309824,0.000227362,0.001642678,0.0001308785,0.0001539573,0.0002122645,0.0001867612,0.02240153,0.4961386,0.01759757,0.2379809,0.2232944],"study_design_scores_gemma":[0.001497827,0.0001983997,0.003510468,0.0001675058,0.00004007107,0.00002447551,0.00001244003,0.3350508,0.5835625,0.000887525,0.07396328,0.001084775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01198734,0.00003530358,0.9550258,0.0001645301,0.0002184973,0.00009710406,0.00001078661,0.001464551,0.03099608],"genre_scores_gemma":[0.9925692,0.000004875555,0.006668199,0.0001443852,0.0000920747,0.00001605653,0.000001577409,0.0000211353,0.0004825008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805819,"threshold_uncertainty_score":0.6542137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006799162086376307,"score_gpt":0.1844894108303515,"score_spread":0.1776902487439752,"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."}}