{"id":"W2144275718","doi":"10.5555/1266366.1266420","title":"A symbolic methodology for the verification of analog and mixed signal designs","year":2007,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Correctness; Symbolic computation; Symbolic trajectory evaluation; Computer science; Representation (politics); Set (abstract data type); Computation; Mixed-signal integrated circuit; Symbolic data analysis; SIGNAL (programming language); Theoretical computer science; Algebra over a field; Algorithm; Programming language; Mathematics; Integrated circuit; Model checking","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":[0.001720522,0.0007496768,0.0005927744,0.001232346,0.0006179712,0.001377922,0.001463265,0.000642151,0.002892875],"category_scores_gemma":[0.003890589,0.0004977023,0.001195348,0.0006547624,0.002642858,0.002333537,0.001498573,0.001665215,0.0008132801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071455,"about_ca_system_score_gemma":0.00159304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007308425,"about_ca_topic_score_gemma":0.0007161986,"domain_scores_codex":[0.9980122,0.0004722426,0.0001787711,0.000218197,0.001002997,0.0001155316],"domain_scores_gemma":[0.9983469,0.000853597,0.0001235833,0.0003819233,0.0002528887,0.00004112388],"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":[0.00004850408,0.00006011045,0.0002672808,0.0002484599,0.0000485794,0.000251375,0.0002115412,0.03973479,0.02715823,0.8458086,0.001072962,0.08508956],"study_design_scores_gemma":[0.00007633018,0.0001988449,0.0001681864,0.0001161731,0.00006548671,0.000448599,0.0000442965,0.3253467,0.04569663,0.5980334,0.02975227,0.00005321403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001448588,0.00007777562,0.997104,0.00005244105,0.00001690891,0.00002257241,0.0000187157,0.0003241665,0.0009348808],"genre_scores_gemma":[0.1664396,0.0003846694,0.8303257,0.000113319,0.00007139787,0.0002152873,0.0001343196,0.0001277252,0.002188146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002892875,"threshold_uncertainty_score":0.009677649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786340036732575,"score_gpt":0.3365525164337212,"score_spread":0.1579185127604637,"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."}}