{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001120573,0.001715956,0.0005948605,0.001417226,0.0004009668,0.001535932,0.003513356,0.001101751,0.06861792],"category_scores_gemma":[0.003004257,0.00101963,0.001445367,0.0008242881,0.0003568912,0.001539683,0.001478962,0.001721525,0.01959961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512732,"about_ca_system_score_gemma":0.001634073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003165079,"about_ca_topic_score_gemma":0.006356711,"domain_scores_codex":[0.9988632,0.0001199707,0.00005454335,0.0000965288,0.0007435985,0.0001221481],"domain_scores_gemma":[0.9989854,0.0003548515,0.00007065722,0.0002525022,0.000287132,0.00004953005],"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":[0.0005123498,0.0002584548,0.002223534,0.001357009,0.0001693977,0.0006480993,0.00027572,0.1071301,0.03433987,0.04887635,0.3611868,0.4430223],"study_design_scores_gemma":[0.0004666667,0.000299714,0.001320375,0.0003224424,0.00006033268,0.0007703017,0.00006572093,0.3590668,0.04013177,0.01921094,0.5781188,0.0001660992],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009874168,0.0009511664,0.6898901,0.0003882119,0.0004182198,0.0003934685,0.01351116,0.2121538,0.07241973],"genre_scores_gemma":[0.1346123,0.002052023,0.658625,0.0007865666,0.000159505,0.001568254,0.06121343,0.07921632,0.06176664],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9964867,"threshold_uncertainty_score":0.2295498,"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."}}