{"id":"W2134496629","doi":"10.1109/socc.2008.4641515","title":"Supply voltage selection in Voltage Island based SoC design","year":2008,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voltage; System on a chip; Computer science; Chip; Selection (genetic algorithm); Reduction (mathematics); Voltage reduction; Integrated circuit design; Function (biology); Power (physics); Work (physics); Cost reduction; Reliability engineering; Embedded system; Engineering; Electrical engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002210287,0.0002252166,0.0002086593,0.0002970501,0.00008090526,0.00002528314,0.000147787,0.0001385769,0.0008352648],"category_scores_gemma":[0.00001667153,0.0002188715,0.00004698355,0.0005467695,0.00003225179,0.0003499275,0.00001059741,0.0002460193,0.000366192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720438,"about_ca_system_score_gemma":0.0000608208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008537533,"about_ca_topic_score_gemma":0.0001791122,"domain_scores_codex":[0.9988385,0.00002578313,0.0002687042,0.0002217583,0.0002090416,0.0004362152],"domain_scores_gemma":[0.9996256,0.00008285535,0.00001985736,0.0001643639,0.00002981607,0.00007749865],"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":[0.00009765049,0.0001745337,0.08997528,0.0001506472,0.00005707392,0.0001796601,0.001104082,0.5301058,0.23831,0.0001470021,0.1370525,0.002645864],"study_design_scores_gemma":[0.001471816,0.0001296857,0.02980855,0.00002859385,0.000009317963,0.00003162459,0.00002300856,0.8009597,0.1619735,0.00005214302,0.005008604,0.0005034464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614305,0.00008215999,0.7321275,0.00001901639,0.0002308429,0.0003433963,0.000004389017,0.0007109143,0.005051172],"genre_scores_gemma":[0.9933412,0.00005024271,0.004803042,0.00009698665,0.00008780025,0.00004867942,0.00000885595,0.00006017209,0.001503035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7319106,"threshold_uncertainty_score":0.9145564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293005813839844,"score_gpt":0.1912474607576041,"score_spread":0.1783174026192057,"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."}}