{"id":"W3033033241","doi":"10.1145/3388617","title":"VTR 8","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":293,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"New Brunswick Innovation Foundation; Semiconductor Research Corporation","keywords":"Computer science; Field-programmable gate array; Verilog; Routing (electronic design automation); Embedded system; Computer architecture; Process (computing); Footprint; Implementation; Design flow; Memory footprint; CAD; Electronic design automation; Computer hardware; Operating system; Software engineering","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":[0.0008435658,0.0007834078,0.0003212203,0.001019684,0.0003505549,0.001916926,0.001874492,0.001074003,0.1370609],"category_scores_gemma":[0.002758794,0.0006054366,0.0007668754,0.0005103768,0.0003045666,0.001478167,0.00123707,0.001066099,0.06529628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007708512,"about_ca_system_score_gemma":0.001106221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247824,"about_ca_topic_score_gemma":0.001881827,"domain_scores_codex":[0.9988272,0.0001261807,0.00008045925,0.0001914943,0.0006609797,0.0001137276],"domain_scores_gemma":[0.9987885,0.0001857517,0.00008713489,0.0003927918,0.0004879932,0.00005770744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003751511,0.0001309814,0.0009961317,0.0005900135,0.00004663962,0.0003325917,0.000179305,0.01459734,0.04626794,0.05684018,0.2965377,0.583106],"study_design_scores_gemma":[0.0001162904,0.0002066368,0.0004745012,0.00009146481,0.00002387555,0.0006621002,0.00002673531,0.03266139,0.02605021,0.01111493,0.928524,0.00004784908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009329676,0.001024327,0.5078312,0.000971428,0.001083094,0.0005741727,0.00755951,0.1371291,0.3344975],"genre_scores_gemma":[0.1440085,0.00166874,0.3094819,0.001963651,0.0003386429,0.0007802437,0.04019507,0.03611394,0.4654494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1370609,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123967216127599,"score_gpt":0.2098367586667318,"score_spread":0.1885970865054558,"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."}}