{"id":"W4404954289","doi":"10.1109/vlsi-soc62099.2024.10767822","title":"Adaptable FWHW Formal Co-Verification of SoC RISC-V Components","year":2024,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Formal verification; Verification; Intelligent verification; Reduced instruction set computing; System on a chip; Functional verification; Programming language; Embedded system; Instruction set; Software; Software construction; Software development","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":[0.000527349,0.00009265853,0.000139445,0.0001316896,0.00004465914,0.0001218632,0.0006192311,0.00006263739,0.00005130199],"category_scores_gemma":[0.000007801055,0.00007929889,0.00005954033,0.0002792634,0.00002774485,0.0009984548,0.0001026853,0.00008502565,0.0002190823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350291,"about_ca_system_score_gemma":0.00005199502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115842,"about_ca_topic_score_gemma":0.000002658639,"domain_scores_codex":[0.9989113,0.00005702882,0.000299948,0.0002512647,0.000285328,0.0001951364],"domain_scores_gemma":[0.9992735,0.00006194668,0.00006053541,0.0004987775,0.00006095626,0.00004421936],"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":[0.000005034553,0.0000695155,0.0001901563,0.0002095657,0.00003731143,0.00001062811,0.0008237621,0.00001678305,0.1716946,0.7544256,0.05336225,0.01915476],"study_design_scores_gemma":[0.0001555192,0.0001554043,0.0008691163,0.0001744283,0.000008222432,0.00004053975,0.00005819514,0.3532494,0.5816935,0.009166121,0.05414195,0.0002876792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003892867,0.0002278126,0.9482377,0.0001336082,0.0002160302,0.0002076012,0.000003116554,0.0008350778,0.04624615],"genre_scores_gemma":[0.9228923,0.00001123646,0.07466159,0.00003684346,0.0000286379,0.00002306031,0.00000451302,0.000008390518,0.002333452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9189994,"threshold_uncertainty_score":0.3233715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405619068613863,"score_gpt":0.2927450751284812,"score_spread":0.252183168267095,"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."}}