{"id":"W2140736088","doi":"10.1109/newcas.2006.250901","title":"On the Design of a Double Precision Logarithmic Number System Arithmetic Unit","year":2006,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"CORDIC; Computer science; Arithmetic; Logarithm; Floating-point unit; Microprocessor; Latency (audio); Clock rate; Parallel computing; Computer hardware; Floating point; Interpolation (computer graphics); Series (stratigraphy); Saturation arithmetic; Arbitrary-precision arithmetic; Cache; Table (database); Double-precision floating-point format; Mathematics; Algorithm; Field-programmable gate array; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0008270424,0.0001154226,0.0001770878,0.000043966,0.00008868031,0.00008487362,0.0007135379,0.00004612142,0.00005072326],"category_scores_gemma":[0.00002666176,0.00006169453,0.00006079164,0.0005129671,0.00004512436,0.00010132,0.0001299481,0.0001078512,0.0001436958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240731,"about_ca_system_score_gemma":0.00002861269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002561076,"about_ca_topic_score_gemma":8.397653e-7,"domain_scores_codex":[0.9986984,0.0002664098,0.0002528833,0.000256087,0.0003263507,0.0001999201],"domain_scores_gemma":[0.9982659,0.0009836793,0.00009108423,0.0005401532,0.00007976615,0.00003945307],"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":[0.00001466577,0.00009423883,0.0000369486,0.00001097008,0.000006986414,0.000006581024,0.00002005479,0.001254101,0.0004910494,0.9737926,0.0007792427,0.0234926],"study_design_scores_gemma":[0.001141886,0.0003166535,0.0008958813,0.0001616656,0.00001599912,0.00006578659,0.0000632364,0.8252437,0.03013529,0.1397539,0.001838165,0.0003678407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001633589,0.00001382638,0.9780557,0.0003918661,0.0001890057,0.0002822138,5.756185e-7,0.000102858,0.01933041],"genre_scores_gemma":[0.322156,0.000001106337,0.6762661,0.00009177298,0.00003931156,0.00002190666,2.154088e-7,0.000007196706,0.001416406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8340387,"threshold_uncertainty_score":0.251583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412253742137817,"score_gpt":0.281485395339671,"score_spread":0.2402600211258893,"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."}}