{"id":"W4412085130","doi":"10.1007/s10470-025-02459-0","title":"Design space exploration of array-based approximate squaring unit for error-tolerant computing","year":2025,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unit (ring theory); Computer science; Space (punctuation); Algorithm; Electronic engineering; Mathematics; Theoretical computer science; Topology (electrical circuits); Engineering; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005096909,0.0002946165,0.0004032188,0.0004012087,0.0002552298,0.0001498564,0.0001696623,0.0001457395,0.000006207191],"category_scores_gemma":[0.00002511878,0.0002697955,0.00005751619,0.0008016193,0.00008173124,0.0005414658,0.000009789226,0.0002544042,0.000001131134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006182081,"about_ca_system_score_gemma":0.000178936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001998633,"about_ca_topic_score_gemma":0.000005390988,"domain_scores_codex":[0.9986018,0.00004976012,0.0004993652,0.0003041345,0.0001627147,0.000382223],"domain_scores_gemma":[0.9992159,0.0001576854,0.000129747,0.0001350315,0.0002974449,0.00006418722],"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":[0.00005304878,0.00005550867,0.0004294781,0.001865817,0.0001051474,0.000003731173,0.001619724,0.7192013,0.1581781,0.0009016431,0.0001094997,0.117477],"study_design_scores_gemma":[0.0006342494,0.00008626922,0.00005890726,0.0009888979,0.0000648057,0.00000162233,0.0006179821,0.8601617,0.1361724,0.0008577074,0.0001020657,0.000253438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04016253,0.0007244537,0.9575178,0.00004691834,0.00009795991,0.00043043,0.000005874638,0.0002606084,0.0007534474],"genre_scores_gemma":[0.9916933,0.00001201621,0.008053696,0.00006710134,0.00003391088,0.00003580049,0.00003420707,0.00004263415,0.00002734942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9515308,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675350482753256,"score_gpt":0.2573175120474619,"score_spread":0.2205640072199294,"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."}}