{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006265694,0.0000796392,0.00007786138,0.00008667229,0.0005337904,0.00007595492,0.0000445024,0.00002825529,0.002352362],"category_scores_gemma":[0.00002225584,0.00006824004,0.00002859796,0.00005692911,0.00006270864,0.0004176068,0.00001663638,0.00005575334,0.00006955614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005846906,"about_ca_system_score_gemma":0.00003689748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000321708,"about_ca_topic_score_gemma":0.0009596562,"domain_scores_codex":[0.9993826,0.00001820648,0.0001649595,0.0001545206,0.0001581139,0.0001215596],"domain_scores_gemma":[0.999636,0.000004601973,0.0000448647,0.00008533168,0.0001714487,0.00005773217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004645121,0.001295174,0.04630858,0.000194263,0.0002563605,0.00002990037,0.1875926,0.001026033,0.0968144,0.5603856,0.08295667,0.02267584],"study_design_scores_gemma":[0.001981901,0.0008380335,0.1624699,0.0001428083,0.00008384486,0.00007913235,0.007437938,0.005384312,0.03544471,0.005947961,0.7790859,0.001103585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935383,0.000004470312,0.0002103494,0.0001843723,0.0006970825,0.0001709916,0.00001463138,0.00007711005,0.06325802],"genre_scores_gemma":[0.9848168,0.000004153517,0.0001353833,0.0001043962,0.0003821585,0.00001129013,0.000009441593,0.00001003331,0.01452634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6961292,"threshold_uncertainty_score":0.9985596,"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."}}