{"id":"W4413179407","doi":"10.1109/isscs66034.2025.11105668","title":"Design and Implementation of a Low Power 4:2 Compressor Cell Using VTM-Logic Gates","year":2025,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Gas compressor; Computer science; Logic gate; Power (physics); Logic synthesis; Pass transistor logic; Electrical engineering; Electronic engineering; Engineering; Physics; Algorithm; Electronic circuit; Digital electronics; Mechanical engineering","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":[0.00007091863,0.0002299685,0.0002305243,0.0003073695,0.0003323941,0.0004858977,0.0009027825,0.0003328444,0.002811725],"category_scores_gemma":[0.0001432741,0.0001334679,0.0002016192,0.0002615975,0.0001650579,0.0004686856,0.0002595254,0.0001872208,0.0004608894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003856435,"about_ca_system_score_gemma":0.000405726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009381227,"about_ca_topic_score_gemma":0.001649476,"domain_scores_codex":[0.9999131,0.000007377168,0.000006912597,0.00001313428,0.00004323782,0.00001621715],"domain_scores_gemma":[0.9999261,0.00001211082,0.00001479252,0.00001168017,0.00002741349,0.000007895711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003115771,0.00009144385,0.001275842,0.0003984495,0.00007948007,0.0006818738,0.0001675963,0.01593728,0.8219097,0.01377448,0.002767659,0.1426048],"study_design_scores_gemma":[0.000120459,0.00131894,0.00199657,0.00004935609,0.00008694144,0.001677601,0.0001044743,0.1885312,0.756895,0.001579461,0.0475752,0.00006483828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5382416,0.002233379,0.4178793,0.0008846669,0.0004213462,0.0005686774,0.0006721392,0.003083851,0.03601501],"genre_scores_gemma":[0.8979675,0.0003625729,0.09312236,0.000181921,0.0000504451,0.0001217994,0.0001715217,0.00004463978,0.007977249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002811725,"threshold_uncertainty_score":0.009406149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041006074846584,"score_gpt":0.2497026522804844,"score_spread":0.2392925915320186,"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."}}