{"id":"W4407953462","doi":"10.1145/3706628.3708880","title":"FRIDA: Reconfigurable Arrays for Dynamically Scheduled High-Level Synthesis","year":2025,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer architecture; Parallel computing; Embedded system","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":[0.0007752755,0.0002015228,0.00035591,0.0002410779,0.0001485617,0.0002267246,0.001459798,0.0001681852,0.00004813728],"category_scores_gemma":[0.000432405,0.0001784972,0.0001304649,0.0004449026,0.0000347226,0.0003850078,0.0001024656,0.0001166708,0.00005769005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320775,"about_ca_system_score_gemma":0.0001917746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121756,"about_ca_topic_score_gemma":0.00004164502,"domain_scores_codex":[0.9983013,0.0001024285,0.0004345531,0.0005862796,0.0001833217,0.0003921085],"domain_scores_gemma":[0.9977437,0.0008448352,0.0001018951,0.001008577,0.0002252276,0.00007579316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008617097,0.00004889849,0.00002545073,0.00007686127,0.00005158881,0.000002025963,0.00002868438,0.00001100282,0.02338446,0.9367835,0.01757166,0.02200728],"study_design_scores_gemma":[0.0004491718,0.0001079793,0.0002590749,0.0002951974,0.00002840373,0.000007948595,0.00003715674,0.1021028,0.6900157,0.198877,0.007276361,0.0005431722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005013973,0.00003573609,0.9437685,0.002456903,0.0004214676,0.0006684994,0.000009490885,0.001104915,0.0510331],"genre_scores_gemma":[0.3302957,0.00000444014,0.6599259,0.000480878,0.00003133929,0.0005047165,0.00000156353,0.00001266859,0.008742793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7379065,"threshold_uncertainty_score":0.7278904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416779155535774,"score_gpt":0.265944186015408,"score_spread":0.2417763944600502,"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."}}