{"id":"W2100746765","doi":"10.1109/mwscas.1992.271293","title":"A pipelined VLSI arithmetic architecture","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Waterloo","funders":"National Center for Theoretical Sciences","keywords":"Very-large-scale integration; Computer science; Arithmetic; Parallel computing; Architecture; Tree (set theory); Binary tree; Reduction (mathematics); Pyramid (geometry); Computer architecture; Theoretical computer science; Algorithm; Embedded system; Mathematics","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":[0.000076565,0.0002411399,0.0001649838,0.000340599,0.0002795713,0.0006193946,0.0006801653,0.0003159534,0.007473716],"category_scores_gemma":[0.0002115396,0.0001959385,0.0002876571,0.000497524,0.000190904,0.0007255549,0.0003232558,0.0003390055,0.001854334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099764,"about_ca_system_score_gemma":0.0006761891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009989352,"about_ca_topic_score_gemma":0.001396611,"domain_scores_codex":[0.999903,0.000009810487,0.000007062241,0.00002721954,0.00003843713,0.00001460942],"domain_scores_gemma":[0.9999279,0.00001019534,0.000007314563,0.00001716988,0.00002931884,0.000008138162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002405873,0.0000685481,0.001006972,0.0004415349,0.00005503306,0.0004343928,0.0001241606,0.05142352,0.2646697,0.1452454,0.01797976,0.5183104],"study_design_scores_gemma":[0.0001498468,0.0009599138,0.001754961,0.00009660001,0.000145249,0.002509345,0.00005590977,0.5586618,0.1160081,0.06334234,0.256229,0.00008696186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04683233,0.001217609,0.8960178,0.0004476447,0.000277416,0.0001614201,0.0007770884,0.005795413,0.04847336],"genre_scores_gemma":[0.4542061,0.000944199,0.5228139,0.0003461186,0.000116256,0.0001488032,0.0008652455,0.0001128959,0.02044653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007473716,"threshold_uncertainty_score":0.02500206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004954174108534439,"score_gpt":0.1776990684536166,"score_spread":0.1727448943450822,"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."}}