{"id":"W2110809263","doi":"10.1145/1393921.1393982","title":"A physical level study and optimization of CAM-based checkpointed register alias table","year":2008,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Alias; Computer science; Energy (signal processing); Function (biology); Parallel computing; Mathematics; Database; Statistics","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":[0.000135257,0.00009775455,0.000169744,0.00008975006,0.00008925929,0.00002973951,0.0002638211,0.00002755376,0.000005715501],"category_scores_gemma":[0.00003387834,0.00008409473,0.00002745372,0.0003472573,0.0000537327,0.0001819415,0.0001098814,0.00005223222,0.000001398982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209422,"about_ca_system_score_gemma":0.00005331351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340369,"about_ca_topic_score_gemma":0.000002167674,"domain_scores_codex":[0.9991989,0.00006045128,0.0001850846,0.0002579254,0.0001790141,0.0001186497],"domain_scores_gemma":[0.9993293,0.00004482794,0.00009560817,0.0003376298,0.0001483634,0.00004426938],"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":[0.00002781947,0.00141109,0.004559556,0.00002738329,0.00003302338,0.0000133173,0.003267267,0.98027,0.000321296,0.002113715,0.006812623,0.001142877],"study_design_scores_gemma":[0.0004703404,0.0002046131,0.0006781719,0.000008655447,0.000003817976,0.000007022988,0.0000212237,0.9940315,0.004384234,0.00004977741,0.00003773395,0.0001029246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03380201,0.000009115394,0.9640046,0.0001832541,0.00002242816,0.0001869185,7.726084e-7,0.0002607281,0.001530206],"genre_scores_gemma":[0.6281129,0.000002117354,0.3711253,0.0000810576,0.00001134588,0.000005668182,0.000001500692,0.000004496983,0.0006556559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5943108,"threshold_uncertainty_score":0.3429283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05289234616347949,"score_gpt":0.2820053804581091,"score_spread":0.2291130342946296,"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."}}