{"id":"W4389521567","doi":"10.23977/acss.2023.071010","title":"The basic principles and application areas of embedded systems","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Field (mathematics); Systems engineering; Electronics; Computer science; Domain (mathematical analysis); Embedded system; Manufacturing engineering; Engineering; Electrical engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009861299,0.001021309,0.0006178751,0.001370228,0.0008255076,0.00241251,0.001053471,0.00220834,0.005114156],"category_scores_gemma":[0.002165246,0.0004401202,0.000598387,0.001475893,0.002904873,0.002677281,0.001747941,0.002578418,0.003594977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007053874,"about_ca_system_score_gemma":0.001142365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007769909,"about_ca_topic_score_gemma":0.0004286395,"domain_scores_codex":[0.998558,0.0003045547,0.0001717812,0.0002543206,0.0006219608,0.00008935602],"domain_scores_gemma":[0.9988254,0.0005927408,0.00009451944,0.0001443646,0.0002984707,0.00004446579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002895116,0.0000498695,0.0004858421,0.001127499,0.00002542474,0.0003301795,0.0004745694,0.007611947,0.004878334,0.8165767,0.01341817,0.1549926],"study_design_scores_gemma":[0.000014258,0.000111575,0.0006413896,0.0006485298,0.00001935312,0.001049122,0.0001373977,0.01173755,0.003182769,0.3276972,0.6547134,0.0000475288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005024941,0.1078344,0.6976048,0.008120675,0.002697452,0.0003710482,0.0004766444,0.0008735919,0.1769964],"genre_scores_gemma":[0.2293129,0.2118734,0.4669456,0.005694431,0.007255773,0.001537357,0.0008053355,0.0003833083,0.07619195],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005114156,"threshold_uncertainty_score":0.01710862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135727304962628,"score_gpt":0.2400238705511984,"score_spread":0.2286665975015721,"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."}}