{"id":"W1967444872","doi":"10.1007/s11265-013-0795-6","title":"Area Efficient Sequential Decimal Fixed-point Multiplier","year":2013,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Adder; Decimal; Arithmetic; Multiplier (economics); Operand; Computer science; Computation; Mathematics; Parallel computing; Algorithm; Latency (audio); Computer hardware; Telecommunications","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":[0.0003169674,0.0009582671,0.0005580314,0.0008454436,0.0006030471,0.0009764554,0.0009613833,0.0003994771,0.01376994],"category_scores_gemma":[0.001196161,0.000221447,0.0003064566,0.001138228,0.00033551,0.001087946,0.0009271677,0.0005787408,0.003260967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479152,"about_ca_system_score_gemma":0.00100422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008552219,"about_ca_topic_score_gemma":0.002164616,"domain_scores_codex":[0.9996449,0.00006405637,0.00002888145,0.00008207231,0.0001188177,0.00006130575],"domain_scores_gemma":[0.9996033,0.0001018975,0.00002934201,0.00009751446,0.0001487682,0.00001923124],"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":[0.001625707,0.0001333075,0.0005877741,0.0003871687,0.00008041294,0.0003028383,0.0001280079,0.02941644,0.07747202,0.07900013,0.02139749,0.7894687],"study_design_scores_gemma":[0.0005732414,0.00156082,0.001624169,0.0002304879,0.000268327,0.0021931,0.0002081736,0.4813417,0.2180917,0.1554356,0.1383461,0.0001265272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05134216,0.0018353,0.9103951,0.0005065024,0.0005454374,0.0001017431,0.00032697,0.002408567,0.03253818],"genre_scores_gemma":[0.4193214,0.0008586308,0.5463157,0.0003873409,0.0002482171,0.0001822649,0.000500833,0.0001911171,0.03199449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01376994,"threshold_uncertainty_score":0.04606497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584134055562441,"score_gpt":0.2712819439382788,"score_spread":0.2454406033826544,"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."}}