{"id":"W4391933756","doi":"10.1016/j.mejo.2024.106135","title":"Logic cloning based approximate signed multiplication circuits for FPGA","year":2024,"lang":"en","type":"article","venue":"Microelectronics Journal","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Hydro-Québec; CMC Microsystems","keywords":"Multiplication (music); Field-programmable gate array; Cloning (programming); Electronic circuit; Computer science; Arithmetic; Topology (electrical circuits); Mathematics; Engineering; Computer hardware; Electrical engineering; Programming language; Combinatorics","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":[0.0005952225,0.0002588775,0.0002167273,0.000288621,0.0002184136,0.0003637859,0.0002828214,0.0001374035,0.00004465337],"category_scores_gemma":[0.00002554695,0.0002468243,0.0001638235,0.0003456041,0.00002286957,0.0003283455,0.00001219738,0.0006246613,0.00006753988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006306577,"about_ca_system_score_gemma":0.0002037854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.5297e-7,"about_ca_topic_score_gemma":0.000002116504,"domain_scores_codex":[0.9983772,0.00002831165,0.0003936718,0.0002509183,0.0001810991,0.0007688044],"domain_scores_gemma":[0.999418,0.0001151746,0.00005362302,0.0002042847,0.00009474123,0.000114128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002036082,0.00003345483,0.00001764091,0.0003429003,0.0001403946,0.00001857454,0.0002738771,0.0584769,0.8953741,0.001100612,0.006279523,0.03792166],"study_design_scores_gemma":[0.0006738037,0.0001719506,0.00001494703,0.0001129019,0.00005627824,0.0001992587,0.00001223144,0.7647004,0.2065613,0.001426065,0.02573964,0.0003312731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04165056,0.009566219,0.9462957,0.0002967146,0.0008201316,0.0004316463,0.0000140281,0.0006478527,0.000277171],"genre_scores_gemma":[0.9888397,0.0002677765,0.0100271,0.0001058676,0.0004151225,0.00007958287,0.00003187967,0.0001249491,0.0001080534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9471891,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214653087571625,"score_gpt":0.2323234177741241,"score_spread":0.2201768868984079,"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."}}