{"id":"W2116002481","doi":"10.1109/ccece.2007.353","title":"Pipeline Design and Verification in Bluenose II","year":2007,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pipeline (software); Formal verification; Functional verification; Time to market; Abstraction; Pipeline transport; Intelligent verification; Model checking; High-level verification; Runtime verification; Formal methods; Software engineering; Verification; Embedded system; Reliability engineering; Programming language; Software; Engineering; 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":[0.002006127,0.00005388419,0.00005587939,0.0001133682,0.00005179771,0.00002859667,0.0002431914,0.00004078628,0.00000421404],"category_scores_gemma":[0.0001056883,0.00005002051,0.00000705478,0.0003325008,0.00002390955,0.0003876507,0.0000754653,0.00006044063,0.00001383828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002892023,"about_ca_system_score_gemma":0.00001458887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733856,"about_ca_topic_score_gemma":0.000005271139,"domain_scores_codex":[0.9993274,0.00005719908,0.0001822625,0.000194565,0.0001004264,0.0001381936],"domain_scores_gemma":[0.9995214,0.00007333604,0.00003951391,0.000292513,0.00003240023,0.00004083577],"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":[0.00002365948,0.00008679558,0.0004219703,0.000006775225,0.000001321708,0.000003975872,0.001372439,0.000206727,0.01291462,0.4834347,0.0003992831,0.5011277],"study_design_scores_gemma":[0.0004480223,0.0001328688,0.05641461,0.00001095364,0.000001754833,0.00001857233,0.00006022906,0.7383038,0.1913981,0.008119072,0.004870505,0.0002214576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01988578,0.0000350469,0.9761748,0.000186785,0.00009665353,0.0001357889,4.848788e-8,0.00007982212,0.003405253],"genre_scores_gemma":[0.306654,0.000009418321,0.6929518,0.0001193812,0.00001110776,0.000003197514,2.896732e-7,0.000002091374,0.0002487249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7380971,"threshold_uncertainty_score":0.2039777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727691401040105,"score_gpt":0.3072752483619198,"score_spread":0.2699983343515188,"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."}}