{"id":"W2521373464","doi":"10.1007/s10270-017-0592-y","title":"Synthesis and exploration of multi-level, multi-perspective architectures of automotive embedded systems","year":2017,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Automotive industry; Process (computing); Perspective (graphical); Domain (mathematical analysis); Task (project management); Set (abstract data type); Focus (optics); Software engineering; Embedded system; Systems engineering; Artificial intelligence; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002297184,0.0004727893,0.0002866321,0.0003179317,0.0002688202,0.0005745493,0.000408671,0.0003450505,0.002009542],"category_scores_gemma":[0.0004740499,0.0003066717,0.0004844365,0.0002005711,0.0002340408,0.0004704247,0.0003888402,0.0004257697,0.0002735651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609826,"about_ca_system_score_gemma":0.0005716204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008208827,"about_ca_topic_score_gemma":0.00238483,"domain_scores_codex":[0.999876,0.00003272315,0.000006045696,0.00001903041,0.00004508706,0.0000210565],"domain_scores_gemma":[0.9998498,0.00005277366,0.00002270745,0.00002401722,0.00004080203,0.000009801886],"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":[0.0001188123,0.0000394243,0.0009835592,0.0003165254,0.0000551984,0.0002306981,0.0001940491,0.7793807,0.0762877,0.05232032,0.0006336736,0.08943932],"study_design_scores_gemma":[0.00001341469,0.00008689189,0.0002622182,0.00002356687,0.00002459668,0.00005543317,0.0000510407,0.970489,0.01380912,0.01229303,0.002884327,0.00000747847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1549352,0.0007318827,0.8324813,0.0001981948,0.00003247271,0.00005008316,0.0000960731,0.0004754723,0.01099927],"genre_scores_gemma":[0.786905,0.0003807877,0.2107424,0.00003984646,0.00001132953,0.00004543948,0.0001074501,0.00005874913,0.00170896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002009542,"threshold_uncertainty_score":0.006722569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1748088125183404,"score_gpt":0.3483944967806906,"score_spread":0.1735856842623502,"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."}}