{"id":"W3205220447","doi":"10.1109/fpl53798.2021.00065","title":"Post-LUT-Mapping Implementation of General Logic on Carry Chains Via a MIG-Based Circuit Representation","year":2021,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carry (investment); Computer science; Lookup table; Logic gate; Binary number; Suite; Logic synthesis; Path (computing); Algorithm; Parallel computing; Arithmetic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007771532,0.0003738306,0.0001385739,0.0003823696,0.000198062,0.0004296352,0.0006544146,0.0001795963,0.003144608],"category_scores_gemma":[0.0001895532,0.0001027778,0.0002033246,0.0003245707,0.0002007804,0.0005126037,0.000236186,0.0002188902,0.0004966214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008405,"about_ca_system_score_gemma":0.0004968437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913756,"about_ca_topic_score_gemma":0.006558354,"domain_scores_codex":[0.9999433,0.000008656885,0.000003538934,0.00001028529,0.00002246965,0.00001185422],"domain_scores_gemma":[0.9999131,0.00001719269,0.00001333408,0.00002918266,0.00002215937,0.000005013148],"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":[0.0004593484,0.0001599161,0.002107561,0.0003295619,0.0000693939,0.0005627069,0.0002265061,0.2007598,0.3084539,0.06542485,0.006180822,0.4152656],"study_design_scores_gemma":[0.00004495582,0.0006268566,0.001476569,0.00003563733,0.00008856739,0.0004438123,0.00009073777,0.7492385,0.2015577,0.01973481,0.02662298,0.0000388387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2586073,0.0004171992,0.7148017,0.0001671794,0.0001102291,0.0001272814,0.0002884801,0.007103708,0.01837696],"genre_scores_gemma":[0.7990621,0.0001231259,0.1948482,0.00008942218,0.00001794769,0.00004361029,0.000298299,0.0001128198,0.005404497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003144608,"threshold_uncertainty_score":0.0105198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478539288077495,"score_gpt":0.2632208258231294,"score_spread":0.2384354329423545,"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."}}