{"id":"W200240169","doi":"","title":"Using Lazy Instruction Prediction to Reduce Processor Wakeup Power Dissipation","year":2008,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Branch predictor; Predictability; Queue; Exploit; Power (physics); Lazy evaluation; Parallel computing; Computer network; Mathematics; Theoretical computer science","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":[0.0002704993,0.000461553,0.0003228964,0.000471537,0.0005294913,0.0006652647,0.0007246141,0.0002269722,0.001464567],"category_scores_gemma":[0.001819597,0.0002203612,0.0001935853,0.0006244741,0.0004138355,0.001342056,0.0005069393,0.0004615445,0.0003151147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003839773,"about_ca_system_score_gemma":0.001085108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821496,"about_ca_topic_score_gemma":0.003910735,"domain_scores_codex":[0.9997777,0.00003944053,0.00001669464,0.00004730286,0.00007668222,0.00004224238],"domain_scores_gemma":[0.9991518,0.0003169742,0.0001857489,0.0001820159,0.0001270305,0.00003642328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001120586,0.0006012613,0.03081333,0.000291995,0.0001227395,0.0004427883,0.0007549962,0.2013104,0.1627665,0.01648173,0.005342216,0.5799513],"study_design_scores_gemma":[0.0001069003,0.0005895883,0.00664378,0.00003448939,0.000142882,0.000244504,0.0001169006,0.854639,0.1198774,0.01231402,0.005226117,0.0000643924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6316702,0.001470769,0.3561143,0.0003835029,0.0001197847,0.00008500065,0.0001087098,0.004822964,0.005224864],"genre_scores_gemma":[0.9298666,0.000237773,0.06811554,0.00006660912,0.00002889434,0.00003865418,0.00008622893,0.0001042653,0.001455414],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001821496,"threshold_uncertainty_score":0.004899502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07907060574524012,"score_gpt":0.2819336916380729,"score_spread":0.2028630858928328,"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."}}