{"id":"W2742536119","doi":"10.1145/3094124","title":"A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits","year":2017,"lang":"en","type":"article","venue":"ACM Journal on Emerging Technologies in Computing Systems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"École Polytechnique Fédérale de Lausanne","keywords":"Adder; Computer science; Arithmetic; Feature (linguistics); Electronic circuit; Power (physics); Computer engineering; Electronic engineering; Algorithm; Mathematics; CMOS; Electrical engineering; 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":[0.0007426656,0.0008246023,0.0009142616,0.00399887,0.0002994284,0.001243216,0.001099363,0.0007634818,0.004174964],"category_scores_gemma":[0.002736696,0.0004170577,0.0007186373,0.005266338,0.0003175291,0.002178164,0.0004703762,0.0006068826,0.00151304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006970742,"about_ca_system_score_gemma":0.001128326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007352789,"about_ca_topic_score_gemma":0.000708422,"domain_scores_codex":[0.9991622,0.00008968481,0.0001322729,0.0001234949,0.0004442255,0.00004807116],"domain_scores_gemma":[0.9985914,0.000637927,0.0001601231,0.0000668444,0.0005084,0.00003526825],"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":[0.0001215568,0.00005578924,0.0006061351,0.00911909,0.00007817575,0.0001613776,0.0000811611,0.002625193,0.006578223,0.009017638,0.01045483,0.9611007],"study_design_scores_gemma":[0.00003347718,0.0007829192,0.002956648,0.004159566,0.0005139051,0.003565785,0.0001802845,0.009438208,0.0175195,0.009153444,0.9515941,0.0001023173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006155709,0.9493327,0.02896343,0.0004747864,0.0005374612,0.00008270107,0.0002049289,0.0002082689,0.01404004],"genre_scores_gemma":[0.02893911,0.9334792,0.03066582,0.0005404466,0.0006008577,0.0001070047,0.0005731964,0.00006066986,0.00503366],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004174964,"threshold_uncertainty_score":0.01396668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184702343644592,"score_gpt":0.3464032271888318,"score_spread":0.2279329928243726,"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."}}