{"id":"W2304461947","doi":"10.1109/icm.2015.7437978","title":"Reducing the number of embedded multipliers in squaring large size complex numbers","year":2015,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Multiplier (economics); Partition (number theory); Arithmetic; Mathematics; Field-programmable gate array; Computer science; Discrete mathematics; Parallel computing; Algorithm; Combinatorics; Computer hardware","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":[0.001046922,0.0001033078,0.0002015142,0.0000248707,0.00004964843,0.00005072636,0.0006714297,0.00003585421,0.00005614414],"category_scores_gemma":[0.000325045,0.00006742424,0.00005725348,0.0005324867,0.00005469881,0.0001999075,0.0003105992,0.0001458023,0.00003026765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003761343,"about_ca_system_score_gemma":0.00004450562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756182,"about_ca_topic_score_gemma":0.00001351528,"domain_scores_codex":[0.9987255,0.000169651,0.0002776976,0.0002575736,0.0002617384,0.0003078686],"domain_scores_gemma":[0.9988614,0.0004360175,0.00008331133,0.0004496553,0.00005883692,0.0001108053],"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":[0.00007639632,0.001229208,0.08293551,0.00008789406,0.0001230622,0.00008073515,0.04548717,0.004313423,0.01105004,0.350657,0.007875914,0.4960836],"study_design_scores_gemma":[0.002415456,0.00006223931,0.0277819,0.00005352452,0.000007184118,0.00003279034,0.004190275,0.9271307,0.003070469,0.02999597,0.004772347,0.0004871413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08590765,0.00001571514,0.8773627,0.001053852,0.0004060791,0.0001738283,0.000001143276,0.00009360553,0.03498545],"genre_scores_gemma":[0.4967559,8.1503e-7,0.5027961,0.0002055635,0.00002329435,0.000004145101,1.299442e-7,0.000004580665,0.0002094529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9228173,"threshold_uncertainty_score":0.2749481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05366920460987557,"score_gpt":0.3451073287977335,"score_spread":0.2914381241878579,"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."}}