{"id":"W1992864170","doi":"10.1109/newcas.2009.5290420","title":"Automatic verification methodology based on structural test patterns","year":2009,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Functional verification; Bottleneck; Computer science; Intelligent verification; High-level verification; Verification; Automation; Formal verification; Electronic design automation; Software verification; Design flow; Automatic test pattern generation; Verification and validation of computer simulation models; Reliability engineering; Embedded system; Software; Engineering; Programming language; Software construction","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":[0.001028475,0.0006119926,0.0004027028,0.0008799491,0.0002376389,0.0005285157,0.001184899,0.0006265778,0.002338313],"category_scores_gemma":[0.00344923,0.0003064452,0.000687897,0.0004194657,0.0006816279,0.001028989,0.0005298101,0.0006212016,0.0006198986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858074,"about_ca_system_score_gemma":0.0008453715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004298417,"about_ca_topic_score_gemma":0.0003485812,"domain_scores_codex":[0.9981146,0.000651569,0.0001385988,0.0001772114,0.0008411995,0.00007685956],"domain_scores_gemma":[0.997863,0.001142982,0.0001850319,0.0004199377,0.0003653694,0.00002375481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002996874,0.0001712901,0.001828244,0.0005614972,0.0001448631,0.000683871,0.0001530456,0.2984357,0.208533,0.100826,0.002188763,0.3861741],"study_design_scores_gemma":[0.000114824,0.0003112668,0.0003914853,0.00004832366,0.00004938374,0.0006360534,0.00001357197,0.8579012,0.09308368,0.0377256,0.009695618,0.00002912855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006761711,0.00005521158,0.990788,0.00004105325,0.00001905623,0.00005974375,0.00004460629,0.001348639,0.0008819589],"genre_scores_gemma":[0.3662627,0.0002384776,0.6309154,0.0001142233,0.0000360699,0.0003810008,0.000464111,0.0002321099,0.001355829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002338313,"threshold_uncertainty_score":0.007822454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06050014549467846,"score_gpt":0.3043993520041662,"score_spread":0.2438992065094877,"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."}}