{"id":"W1516383521","doi":"10.1109/isce.2004.1375972","title":"Performance evaluation of a DVD processor using transaction level models","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Database transaction; Transaction processing; Computer architecture; Embedded system; Database","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":[0.001012044,0.000693278,0.0007290022,0.0006066557,0.0004341462,0.001060657,0.001392715,0.0007652525,0.004980943],"category_scores_gemma":[0.003447958,0.0003660428,0.0003435138,0.001127149,0.000284573,0.001411632,0.0003759124,0.0005467166,0.0006040481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367223,"about_ca_system_score_gemma":0.0007482907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326697,"about_ca_topic_score_gemma":0.002486002,"domain_scores_codex":[0.9990946,0.0003149151,0.00006556284,0.000118687,0.0002909759,0.0001153087],"domain_scores_gemma":[0.9975435,0.001520964,0.0000908965,0.0002986575,0.0004414479,0.0001045697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008744236,0.0006030658,0.01150574,0.0007724156,0.0002955912,0.0003897378,0.0001813777,0.7473973,0.05414606,0.005809103,0.005714309,0.164441],"study_design_scores_gemma":[0.0001350967,0.0007357943,0.0006815337,0.000006560856,0.00005925015,0.00006975365,0.00002958207,0.9782275,0.01855205,0.0005014366,0.0009877188,0.00001368905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843403,0.002284771,0.1001552,0.0004213912,0.0001371014,0.0001395174,0.0007262749,0.004832419,0.006962962],"genre_scores_gemma":[0.9811644,0.0002917428,0.01658785,0.00004047677,0.00001563711,0.00002896841,0.0003481757,0.00008917735,0.001433673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004980943,"threshold_uncertainty_score":0.01666296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760386262624988,"score_gpt":0.3332436283199298,"score_spread":0.1572050020574309,"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."}}