{"id":"W2166178773","doi":"10.1145/330855.330947","title":"Formal hardware verification by integrating HOL and MDG","year":2000,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); Université de Montréal; Concordia University","funders":"Concordia University","keywords":"HOL; Automated theorem proving; Formal equivalence checking; Computer science; Formal verification; Intelligent verification; Automated proof checking; Model checking; Programming language; Formal methods; Abstraction; Verification; Functional verification; Equivalence (formal languages); Runtime verification; High-level verification; Mathematics; Software; Software development; Software construction; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002684855,0.0004965092,0.0006162023,0.00138372,0.0004708803,0.00153794,0.001371282,0.0005449992,0.002415397],"category_scores_gemma":[0.004369875,0.0004667706,0.0008587438,0.0006235092,0.001802702,0.002186686,0.002011044,0.001232777,0.0004345561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009632711,"about_ca_system_score_gemma":0.001735221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954865,"about_ca_topic_score_gemma":0.002549371,"domain_scores_codex":[0.997827,0.0006392839,0.0001780754,0.0002129897,0.0008980142,0.0002446328],"domain_scores_gemma":[0.9967827,0.001907527,0.0001988485,0.0007582807,0.0002858496,0.00006681087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002416221,0.0001800894,0.001755614,0.0004815182,0.0001034496,0.0004778852,0.0002687201,0.2219505,0.01599125,0.6015671,0.002529036,0.1544532],"study_design_scores_gemma":[0.0001705989,0.000146761,0.0003472083,0.00008694959,0.00007375742,0.0001985755,0.00004128949,0.6462582,0.03143651,0.2904827,0.03071149,0.00004598372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003994513,0.0000886402,0.9917089,0.0000947384,0.00004262415,0.00007508275,0.00005208046,0.00163425,0.002309034],"genre_scores_gemma":[0.2193945,0.0002759504,0.7768396,0.000161396,0.00005840546,0.0002765185,0.0001839767,0.000279986,0.002529663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002684855,"threshold_uncertainty_score":0.01419908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404915745400626,"score_gpt":0.2632437443451588,"score_spread":0.2491945868911525,"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."}}