{"id":"W1013700976","doi":"10.1007/978-3-319-20071-2_1","title":"Sizing Digital Circuits Using Convex Optimization Techniques","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Regular polygon; Electronic circuit; Computer science; Digital electronics; Electronic engineering; Mathematics; Electrical engineering; Engineering; Chemistry; Geometry","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":[0.00009284585,0.0003851002,0.0003774346,0.0002427865,0.0000371069,0.0001492944,0.0001740795,0.0005528207,0.0003327633],"category_scores_gemma":[0.00001062964,0.0004050462,0.0000980908,0.00003307685,0.00004506869,0.0003569812,0.00004918293,0.0002905707,0.00004047286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302806,"about_ca_system_score_gemma":0.00003977552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002465546,"about_ca_topic_score_gemma":3.716137e-7,"domain_scores_codex":[0.9989737,0.000002940059,0.0003322532,0.0002383037,0.0002368398,0.0002159328],"domain_scores_gemma":[0.9993823,0.00001908482,0.00006662148,0.000288847,0.0001406417,0.0001024905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001095059,0.00004946813,0.00002047121,0.001108798,0.0008105094,0.0002606215,0.0003698239,0.08070248,0.006515364,0.1460023,0.08473451,0.6794147],"study_design_scores_gemma":[0.0003460121,0.000212227,3.288625e-7,0.001620339,0.0002454978,0.0002329137,0.00002989296,0.3126723,0.01936875,0.04329712,0.6179402,0.004034447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[8.113493e-7,0.0005147349,0.4268215,0.000002013823,0.00007929355,0.0002044094,0.00002185313,0.002500101,0.5698553],"genre_scores_gemma":[0.06972173,0.001910637,0.1963005,0.0002190243,0.002143745,0.00007879321,0.0009217149,0.001942637,0.7267612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6753803,"threshold_uncertainty_score":0.9998401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478437612850758,"score_gpt":0.2319597961419285,"score_spread":0.1841160348568527,"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."}}