{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006009421,0.0005323031,0.0005061142,0.001169027,0.0007766126,0.002120593,0.001255675,0.000994215,0.009467465],"category_scores_gemma":[0.002142392,0.0007110372,0.0007463013,0.001531621,0.001768727,0.003703063,0.001140675,0.001679775,0.001753722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260621,"about_ca_system_score_gemma":0.0009550142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909118,"about_ca_topic_score_gemma":0.001929487,"domain_scores_codex":[0.9994759,0.0001010723,0.00004094836,0.0001035738,0.0001814225,0.0000970431],"domain_scores_gemma":[0.9993104,0.0002899049,0.00007820535,0.0001246012,0.0001651622,0.00003191578],"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":[0.00003808121,0.00001736525,0.0003148494,0.0001048403,0.00001678917,0.00009490276,0.0001282748,0.02804785,0.001730807,0.9193381,0.003907684,0.04626048],"study_design_scores_gemma":[0.00002911008,0.00005473716,0.0001920313,0.00004994581,0.00002052636,0.0002148744,0.00004364443,0.4057514,0.001789783,0.5677074,0.02411908,0.00002738724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01007775,0.003028709,0.9573441,0.0006623683,0.0001529118,0.00004843511,0.00015666,0.0007669558,0.0277621],"genre_scores_gemma":[0.5675124,0.006894519,0.3917232,0.0005708704,0.0005604271,0.0003839645,0.0004565709,0.0003693882,0.03152871],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009467465,"threshold_uncertainty_score":0.03167176,"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."}}