{"id":"W4246393721","doi":"10.1145/776024.776025","title":"A retargetable micro-architecture simulator","year":2003,"lang":"en","type":"article","venue":"Proceedings of the 40th conference on Design automation - DAC '03","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer architecture simulator; Computer architecture; Microprocessor; Architecture; Embedded system; Instruction set; System on a chip; Microarchitecture; Cache; Operating system; Computer hardware","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":[0.000817451,0.0002366724,0.0002642191,0.0001901364,0.0002436779,0.0002820049,0.001304996,0.0001236267,0.00003338976],"category_scores_gemma":[0.0004544616,0.0001782867,0.0001009217,0.0007024071,0.00007655052,0.0004282188,0.0001372114,0.000235353,0.00003732066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005205876,"about_ca_system_score_gemma":0.0001575993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002854355,"about_ca_topic_score_gemma":9.175208e-8,"domain_scores_codex":[0.9983293,0.00006766555,0.000403076,0.0004343064,0.0004580845,0.0003075758],"domain_scores_gemma":[0.9984823,0.000103952,0.0004599902,0.000350267,0.0005215377,0.00008193924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000581831,0.0004045878,0.0009951681,0.0002291361,0.00008913507,0.000001146811,0.003528871,0.06760278,0.1098413,0.7860421,0.02237963,0.008827902],"study_design_scores_gemma":[0.0004080589,0.0001768821,0.0003624476,0.0002388065,0.00001445132,0.00001423038,0.00002557814,0.6122273,0.3227617,0.06182614,0.001596453,0.0003478879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009517672,0.00005777617,0.9716936,0.001217901,0.0001880791,0.000654083,0.000002005743,0.0008033153,0.01586557],"genre_scores_gemma":[0.6892679,0.00001081661,0.3098367,0.0002721061,0.00001438957,0.00002239227,6.640401e-7,0.00001307429,0.0005619138],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.724216,"threshold_uncertainty_score":0.7270319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021496205117171,"score_gpt":0.2535248614603075,"score_spread":0.2233098994091358,"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."}}