{"id":"W4210552504","doi":"10.3390/electronics11030435","title":"A Review of Machine Learning Techniques in Analog Integrated Circuit Design Automation","year":2022,"lang":"en","type":"review","venue":"Electronics","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Computer science; Automation; Electronic design automation; Integrated circuit; Mixed-signal integrated circuit; State (computer science); Circuit design; Task (project management); Analogue electronics; Sizing; Electronic engineering; Computer architecture; Electronic circuit; Computer engineering; Engineering; Systems engineering; Electrical engineering; Embedded system","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":[0.000868123,0.0003986568,0.001418501,0.0003254892,0.00003674145,0.00001110124,0.0003969796,0.0001693319,0.0005498006],"category_scores_gemma":[0.00009639796,0.0003870497,0.0002148838,0.001153868,0.00001591914,0.0001224104,0.00002322768,0.001332611,0.000006261916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405164,"about_ca_system_score_gemma":0.0003193547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005135691,"about_ca_topic_score_gemma":0.000005319419,"domain_scores_codex":[0.9978431,0.0003512729,0.0009302355,0.0002820738,0.0002122702,0.0003810116],"domain_scores_gemma":[0.9991132,0.0001733824,0.0003375747,0.0003151956,0.00002841384,0.00003223007],"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":[4.359961e-7,0.00001191299,3.200608e-7,0.05761602,0.00007904645,0.000003735466,0.00001646663,0.0001928526,0.00002020631,0.0001600144,0.0001822344,0.9417167],"study_design_scores_gemma":[0.00004282544,0.00009185483,1.975709e-8,0.0376166,0.0001990709,0.00002213726,0.000003399802,0.0008225171,0.00005972853,0.0001061352,0.9607208,0.0003149666],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.189006e-7,0.983775,0.0137912,6.142211e-7,0.00008304168,0.001021128,0.00001641671,0.0003849356,0.0009276013],"genre_scores_gemma":[0.000002159148,0.9983112,0.0005858933,0.00002771534,0.00002212224,0.0003962338,0.000488319,0.0001105887,0.00005571719],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9605385,"threshold_uncertainty_score":0.9998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764037744193229,"score_gpt":0.3001228853426273,"score_spread":0.252482507900695,"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."}}