{"id":"W2527244689","doi":"10.1109/fpl.2016.7577326","title":"The speed of diversity: Exploring complex FPGA routing topologies for the global metal layer","year":2016,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network topology; Routing (electronic design automation); Interconnection; Computer science; Field-programmable gate array; Layer (electronics); Topology (electrical circuits); Electronic engineering; Materials science; Embedded system; Engineering; Electrical engineering; Computer network; Nanotechnology","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":[0.0002094121,0.00007948723,0.0001008913,0.00001010681,0.0002149471,0.00001696804,0.0002745643,0.00002684792,0.00002627297],"category_scores_gemma":[0.00005534981,0.00003346281,0.00007990725,0.00005468851,0.00007088107,0.000103674,0.0001757125,0.00002802554,0.000003779596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003836838,"about_ca_system_score_gemma":0.000003088547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004656812,"about_ca_topic_score_gemma":0.00002240389,"domain_scores_codex":[0.9995354,0.00001114059,0.0001160421,0.00006935571,0.00008687449,0.0001811206],"domain_scores_gemma":[0.999376,0.0003864414,0.00002109621,0.0001708769,0.00003009877,0.00001550249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009550421,0.00003680785,0.02625879,0.00008732058,0.0009641078,0.000004043538,0.001124845,0.000623852,0.1013563,0.2427638,0.01904208,0.6076425],"study_design_scores_gemma":[0.00157911,0.0002944972,0.03502588,0.00009964826,0.0002662052,0.0000143833,0.006079326,0.01627807,0.859888,0.03607197,0.04354706,0.0008558272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1574785,0.0004838161,0.817871,0.001555318,0.0006380333,0.0006960063,0.00005323399,0.001465962,0.01975813],"genre_scores_gemma":[0.9982451,0.000123674,0.001406855,0.00001809222,0.00005028824,0.00001151345,2.9623e-7,0.00000668433,0.0001375552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8407666,"threshold_uncertainty_score":0.1653221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1897463588851081,"score_gpt":0.2843065463874937,"score_spread":0.0945601875023856,"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."}}