{"id":"W4406867050","doi":"10.1007/978-3-031-78380-7","title":"Embedded Computer Systems: Architectures, Modeling, and Simulation","year":2025,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, San Diego; University of Ioannina; National Technical University of Athens; Julius-Maximilians-Universität Würzburg; Universität Rostock; Trakya Üniversitesi; Shanghai Jiao Tong University; Queen's University; Universidad Politécnica de Madrid; Technische Universiteit Delft; Universiteit van Amsterdam; Technische Universität Dresden; Queen's University Belfast; Indian National Science Academy; Università degli Studi di Cagliari; University of Cyprus; Aristotle University of Thessaloniki; Universidad de Málaga","keywords":"Computer science; Programming language; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028619,0.001271692,0.0009949062,0.0007311511,0.0002505073,0.00159476,0.001108694,0.0009463333,0.02206253],"category_scores_gemma":[0.001093638,0.0007765245,0.0004347161,0.001673294,0.0005473014,0.001780141,0.0007546225,0.001455199,0.01284143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218347,"about_ca_system_score_gemma":0.0008061132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380754,"about_ca_topic_score_gemma":0.002019691,"domain_scores_codex":[0.999706,0.00004764463,0.00001314307,0.00003354975,0.0001827663,0.00001692173],"domain_scores_gemma":[0.9995583,0.000191277,0.00002526551,0.00008890033,0.0001150614,0.00002115065],"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":[0.00007143126,0.0001153114,0.0004846258,0.001257663,0.00007003817,0.0001329949,0.0001384582,0.1525497,0.00732687,0.1342735,0.2042673,0.4993122],"study_design_scores_gemma":[0.00003371911,0.0001227188,0.0008521275,0.0004187817,0.00005864084,0.0006469496,0.00006802768,0.2495269,0.004189624,0.1173649,0.6266754,0.0000423107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006242874,0.1093659,0.673172,0.002048702,0.003366437,0.0002088246,0.0008914869,0.004428359,0.2002754],"genre_scores_gemma":[0.1129853,0.1100237,0.2732372,0.0009647161,0.00223968,0.0005173857,0.002362505,0.001807026,0.4958625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02206253,"threshold_uncertainty_score":0.07380652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786793600667845,"score_gpt":0.2736356777514286,"score_spread":0.2557677417447501,"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."}}