{"id":"W2534287380","doi":"10.1109/icm.2000.884812","title":"Formal verification of the RCMP egress routing logic [ATM]","year":2000,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Verilog; High-level verification; Formal verification; Functional verification; Liveness; Embedded system; Intelligent verification; Routing (electronic design automation); Model checking; VHDL; Verification; Field-programmable gate array; Algorithm; Distributed computing; Software; Programming language","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":[0.0006068465,0.00006759316,0.00007460958,0.00002309879,0.0001235245,0.00003908605,0.0009785333,0.00004534792,0.0001118606],"category_scores_gemma":[0.00006192665,0.00004359103,0.00004901088,0.0003519,0.00005346744,0.000633425,0.00009557215,0.00008166773,0.00005743152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401751,"about_ca_system_score_gemma":0.00002636571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002314984,"about_ca_topic_score_gemma":0.000001088374,"domain_scores_codex":[0.9991165,0.0001055984,0.0002322503,0.0001672604,0.000207882,0.0001705069],"domain_scores_gemma":[0.9990644,0.00003607622,0.0001092289,0.0007137271,0.00005349447,0.00002300157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004796674,0.00002974851,0.0004168353,0.000007299314,0.000003404829,1.220344e-7,0.0005140877,0.0005020072,0.001633568,0.6829432,0.00006820999,0.3138767],"study_design_scores_gemma":[0.000380664,0.0001235708,0.1136939,0.00003925008,0.00000975851,0.00002536696,0.0001038046,0.713877,0.1535899,0.01269207,0.00516898,0.0002957422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06515367,0.00002132818,0.8788981,0.0003767159,0.0002628379,0.0001608511,6.470373e-7,0.0001036466,0.05502221],"genre_scores_gemma":[0.6585309,0.000005316083,0.3405707,0.0001455267,0.00001855852,0.000006162568,4.047151e-7,0.000002599507,0.0007197846],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.713375,"threshold_uncertainty_score":0.1818375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299928681973316,"score_gpt":0.2816442360907728,"score_spread":0.2516513678934412,"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."}}