{"id":"W4389166808","doi":"10.1109/iccad57390.2023.10323739","title":"Invited Paper: RapidWright: Unleashing the Full Power of FPGA Technology with Domain-Specific Tooling","year":2023,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Field-programmable gate array; Computer science; Implementation; Leverage (statistics); Compiler; Flexibility (engineering); Computer architecture; Embedded system; Domain (mathematical analysis); Compile time; Predictability; Variety (cybernetics); Quality (philosophy); Software engineering; Operating system; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.005590864,0.0009772414,0.0004959589,0.0009022782,0.000927872,0.003435148,0.001316056,0.002237994,0.03941412],"category_scores_gemma":[0.01101162,0.000493378,0.0005468532,0.0005540517,0.001269281,0.004055636,0.001741273,0.003225681,0.01379458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025699,"about_ca_system_score_gemma":0.001367338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175088,"about_ca_topic_score_gemma":0.002157928,"domain_scores_codex":[0.997394,0.000547462,0.00007122901,0.0004751339,0.001239817,0.0002722798],"domain_scores_gemma":[0.9939511,0.00214818,0.0001579928,0.0003590736,0.00224615,0.001137617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001913894,0.00003692279,0.000448705,0.0001763599,0.00001559311,0.0002771497,0.0002574569,0.001326557,0.004531566,0.009839141,0.8670989,0.1158002],"study_design_scores_gemma":[0.00003532532,0.00008204371,0.000218133,0.0000621423,0.000009590623,0.0003811029,0.000120058,0.002285798,0.004565698,0.004692172,0.9875019,0.00004610362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02176398,0.0227417,0.3767291,0.2254707,0.15637,0.000886694,0.001724925,0.01910052,0.1752124],"genre_scores_gemma":[0.1376132,0.01742284,0.146562,0.04303125,0.04902339,0.0004696486,0.002867339,0.01756735,0.5854429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03941412,"threshold_uncertainty_score":0.1318534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431978993756365,"score_gpt":0.207662455883179,"score_spread":0.1933426659456153,"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."}}