{"id":"W1583165772","doi":"10.1109/icm.2004.1434710","title":"VLSI implementation of a floating-point divider","year":2005,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Very-large-scale integration; Computer science; Adder; CMOS; Frequency divider; Transistor count; Computer hardware; Transistor; Electronic engineering; Arithmetic; Embedded system; Electrical engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026601,0.00004293881,0.00007150254,0.00002569488,0.00002368492,0.00002408214,0.0001981418,0.00001018476,0.0001999576],"category_scores_gemma":[0.00001301509,0.00003254208,0.00003180745,0.0001498565,0.000009982877,0.0002379426,0.00009643431,0.00002707966,0.0000213937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009744076,"about_ca_system_score_gemma":0.00001284629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009996573,"about_ca_topic_score_gemma":0.000009313099,"domain_scores_codex":[0.9994576,0.00003318477,0.0001592912,0.0001207093,0.0001224226,0.000106775],"domain_scores_gemma":[0.9996727,0.00005242916,0.00004901586,0.0001582944,0.00003184006,0.00003572521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[1.733502e-7,0.00001544622,0.0002388185,0.000002091903,0.000002898881,2.189984e-7,0.0002146164,0.00001001865,0.00211866,0.02596986,0.000303279,0.9711239],"study_design_scores_gemma":[0.00157482,0.0005360452,0.03640316,0.00002337456,0.00001829768,0.00001537672,0.0007946657,0.2342024,0.6315066,0.05393166,0.04038839,0.0006052479],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005458439,0.00001627153,0.9900677,0.00236124,0.00006336215,0.00004992759,4.421925e-7,0.00004352205,0.001939154],"genre_scores_gemma":[0.1893255,0.000001709363,0.8101203,0.0003986724,0.00004428031,0.000001869453,1.906448e-7,0.000001764907,0.0001056769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9705186,"threshold_uncertainty_score":0.2189395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773693422228831,"score_gpt":0.336279612558006,"score_spread":0.3185426783357177,"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."}}