{"id":"W2112557314","doi":"10.1109/jssc.2007.897168","title":"Surfing Pipelines: Theory and Implementation","year":2007,"lang":"en","type":"article","venue":"IEEE Journal of Solid-State Circuits","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"CMC Microsystems","keywords":"Pipeline (software); Pipeline transport; Computer science; Chip; Computation; Attractor; Event (particle physics); Ring (chemistry); Path (computing); Embedded system; Algorithm; Engineering; Mathematics; Telecommunications; Programming language; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002226163,0.000180868,0.00026286,0.0003257138,0.0000689037,0.00004754099,0.0001517511,0.00005880166,0.00003890025],"category_scores_gemma":[0.00002817688,0.0001677458,0.00006383111,0.0002142049,0.00004011319,0.0006127444,0.000009024407,0.0002720791,0.00001772025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174922,"about_ca_system_score_gemma":0.00004386275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002886233,"about_ca_topic_score_gemma":0.00001588513,"domain_scores_codex":[0.9984369,0.0000429686,0.0007267193,0.0001025815,0.0003000726,0.0003907289],"domain_scores_gemma":[0.9991411,0.0002012467,0.0001979465,0.0001165669,0.0001750034,0.0001681421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001282897,0.00007508689,0.01100712,0.000421494,0.000474126,0.0005464609,0.01407834,0.03646282,0.6031159,0.0003934051,0.006204403,0.3270926],"study_design_scores_gemma":[0.006566139,0.000625404,0.07049924,0.0005884466,0.0002804211,0.001840065,0.00540636,0.003684311,0.8946179,0.006534684,0.007856205,0.001500821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842134,0.0007834298,0.1132862,0.00001546015,0.001215723,0.0001032978,0.00001072063,0.00005769782,0.0003140696],"genre_scores_gemma":[0.9985227,0.0006668134,0.0002205799,0.00007842635,0.0004171729,9.922479e-7,0.000001434539,0.00004746476,0.00004441484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3255917,"threshold_uncertainty_score":0.6840476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074869269052423,"score_gpt":0.2745460095482637,"score_spread":0.2637973168577395,"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."}}