{"id":"W4410344137","doi":"10.1145/3734798","title":"VTR 9: Open-Source CAD for Fabric and Beyond FPGA Architecture Exploration","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Waterloo; Cerebral Diagnostics (Canada); University of Toronto","funders":"Google","keywords":"Computer science; Field-programmable gate array; CAD; Architecture; Computer architecture; Embedded system; Open source; Computer hardware; Operating system; Engineering drawing; Software","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":[0.0001880668,0.0001866473,0.0002962284,0.000651335,0.0002761265,0.0001055109,0.00028022,0.0003894626,0.00000818761],"category_scores_gemma":[0.00002132914,0.0001809146,0.00003185412,0.0004243588,0.00007901961,0.0001759585,0.000005547595,0.0003095402,0.000002974925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003273469,"about_ca_system_score_gemma":0.0000160582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839878,"about_ca_topic_score_gemma":0.00003265786,"domain_scores_codex":[0.9991755,0.0000253728,0.0002557613,0.0002812981,0.00004339011,0.0002187141],"domain_scores_gemma":[0.9993673,0.0001329739,0.0000329405,0.0003894826,0.00003984799,0.00003742951],"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":[0.00005134399,0.00005116016,0.0000473622,0.000546098,0.0002226744,0.000002562091,0.0002787121,0.004923646,0.014074,0.01253858,0.001839504,0.9654244],"study_design_scores_gemma":[0.004204467,0.001344921,0.0001021975,0.001227575,0.0003953289,0.0003726822,0.005995119,0.04279247,0.4118659,0.2201191,0.3097319,0.001848312],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006940453,0.002518954,0.98203,0.001299148,0.0003235442,0.001189412,0.00003993972,0.001140076,0.004518504],"genre_scores_gemma":[0.9936242,0.0006149078,0.001918952,0.00007445771,0.0000132884,0.00105245,0.000007788572,0.00002840157,0.00266554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9866838,"threshold_uncertainty_score":0.7377483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694436650770665,"score_gpt":0.2434583964838209,"score_spread":0.2265140299761143,"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."}}