{"id":"W3217469509","doi":"10.1109/vlsi-soc53125.2021.9606984","title":"Aspect-Oriented Design Automation with Model Transformation","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Ministry of Education","keywords":"Debugging; Computer science; Reuse; Embedded system; Automation; Scripting language; Model transformation; Electronic design automation; Code generation; Code reuse; Coding (social sciences); Model-driven architecture; System on a chip; Software engineering; Computer architecture; Programming language; Software; Engineering; Software development; Operating 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":[],"consensus_categories":[],"category_scores_codex":[0.000193432,0.00007658925,0.00008069133,0.00004527972,0.00004556572,0.00004070664,0.0001486624,0.00002917146,0.000003976049],"category_scores_gemma":[0.0001059966,0.0000623219,0.00001648614,0.0003458612,0.000009817659,0.0008205865,0.00002407663,0.00005975462,0.000008071918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003834224,"about_ca_system_score_gemma":0.00007584862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.305568e-7,"about_ca_topic_score_gemma":0.000001008566,"domain_scores_codex":[0.9993802,0.00005930094,0.0001063768,0.0001690895,0.0001562126,0.0001288503],"domain_scores_gemma":[0.999428,0.0001628717,0.0000234402,0.0002555436,0.0001006113,0.00002952695],"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":[0.000002088363,0.000007644321,0.000001457662,0.000005262831,0.000004135557,0.000003993134,0.0005243457,0.8922787,0.001348567,0.09607445,0.00002552536,0.009723834],"study_design_scores_gemma":[0.0001454599,0.00002786282,0.00006484635,0.000007146711,0.000002068472,0.00001962182,0.00002729447,0.9175433,0.06548277,0.0165454,0.0000420083,0.00009222236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004384995,0.00002154048,0.9970343,0.0002944306,0.00007047684,0.00008167458,2.65788e-7,0.001174461,0.0008843729],"genre_scores_gemma":[0.04444407,0.000004890785,0.9552759,0.00006751307,0.000005569321,0.00001252748,0.000002177233,0.000005275232,0.0001820601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07952905,"threshold_uncertainty_score":0.2541413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04705287650585926,"score_gpt":0.2727172468862785,"score_spread":0.2256643703804193,"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."}}