{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894627,0.0004096327,0.0001558092,0.0002785906,0.0001894647,0.0004795266,0.0002786373,0.0002731046,0.0007790157],"category_scores_gemma":[0.0005932305,0.0001745738,0.0002377101,0.0002091264,0.0002705307,0.0007116128,0.0002928944,0.0002470081,0.0001000842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840309,"about_ca_system_score_gemma":0.000209305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000534487,"about_ca_topic_score_gemma":0.001180354,"domain_scores_codex":[0.9999446,0.00002037892,0.000001700273,0.00001084049,0.00001201256,0.00001052731],"domain_scores_gemma":[0.9997806,0.0001319822,0.00002650011,0.00003210604,0.00002046245,0.000008402772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001004875,0.00006017218,0.003016165,0.000103577,0.00002315384,0.000203086,0.0001318689,0.915328,0.02766109,0.009963744,0.000424678,0.04298397],"study_design_scores_gemma":[0.00002444472,0.0002511518,0.001058051,0.00001424778,0.00002338514,0.0001333281,0.0001019527,0.9758655,0.01200283,0.008316089,0.002196516,0.0000124617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927777,0.0002439534,0.06077767,0.0001447001,0.00001129602,0.00002254629,0.00007577639,0.0001605157,0.01078652],"genre_scores_gemma":[0.9486457,0.0002353641,0.05012117,0.00002124818,0.000004880161,0.00002431843,0.00006702697,0.00003079463,0.000849478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007790157,"threshold_uncertainty_score":0.002606034,"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."}}