{"id":"W3011681010","doi":"10.1109/tcsii.2020.2980531","title":"Design of Power Efficient Posit Multiplier","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplier (economics); Arithmetic; Computer science; Speedup; Algorithm; Mathematics; Parallel computing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003426015,0.0002816839,0.000501879,0.0001178108,0.0002756932,0.0001106344,0.0009167842,0.0001243715,0.00003010173],"category_scores_gemma":[0.00001600611,0.0002578076,0.0001807284,0.0006643911,0.00007488739,0.0002145624,0.00001048074,0.0002933535,0.00005240656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004811123,"about_ca_system_score_gemma":0.00008103356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006441893,"about_ca_topic_score_gemma":9.375843e-8,"domain_scores_codex":[0.9973065,0.0003863527,0.0005880022,0.0006892355,0.0006225086,0.0004074443],"domain_scores_gemma":[0.9982957,0.0003441857,0.0001976374,0.0006812254,0.0001585573,0.0003227417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003449187,0.0007057157,0.000002244843,0.000128417,0.0001418251,0.00003672588,0.006787346,0.6631413,0.2568448,0.001257064,0.000312616,0.07060752],"study_design_scores_gemma":[0.001646485,0.001304334,0.00005301654,0.0003048773,0.00005625636,0.00005902458,0.0002146817,0.7746423,0.215353,0.0000518681,0.005436994,0.0008770947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00106754,0.0001817112,0.9957141,0.0002949023,0.001500305,0.0006394457,0.00003078672,0.0002613556,0.0003099006],"genre_scores_gemma":[0.9612892,0.000007145283,0.0380653,0.000297808,0.00006518542,0.00008382836,3.065268e-7,0.00003084255,0.0001604205],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9602216,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726954680774584,"score_gpt":0.2528530961319673,"score_spread":0.2155835493242215,"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."}}