{"id":"W4311845559","doi":"","title":"Polyhedral Scheduling and Relaxation of Synchronous Reactive Systems","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Scheduling (production processes); Processor scheduling; Relaxation (psychology); Distributed computing; Parallel computing; Mathematical optimization; Mathematics; Computer network","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":[0.00154254,0.0002096149,0.0002808825,0.0002042364,0.0001537439,0.0001563938,0.0003437515,0.0001867316,0.00007878087],"category_scores_gemma":[0.0005639122,0.0002429631,0.00006955177,0.0002311703,0.00007970401,0.0001774727,0.0003308348,0.0005152535,0.000003159627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178901,"about_ca_system_score_gemma":0.0001155887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005309674,"about_ca_topic_score_gemma":0.0000981289,"domain_scores_codex":[0.9978592,0.0009493972,0.0004448027,0.0003336928,0.0002562879,0.0001565794],"domain_scores_gemma":[0.9977626,0.0003320381,0.0003435247,0.0006529691,0.0008352764,0.00007363255],"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":[0.00004213005,0.0005461181,0.003157371,0.003047034,0.0004792515,0.0000048179,0.03935202,0.6722918,0.01976536,0.2148522,0.0007029218,0.04575897],"study_design_scores_gemma":[0.0002703507,5.077879e-7,0.0008675063,0.001014478,0.00004111386,0.000006863933,0.0005618292,0.9772236,0.01793869,0.0005891083,0.001175779,0.0003101746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454061,0.006230306,0.6890931,0.0007210311,0.0005986335,0.0006351347,0.0001076017,0.0005412196,0.05666696],"genre_scores_gemma":[0.9775143,0.001191976,0.01978795,0.000008958496,0.00001485508,0.00008868396,0.0005021186,0.00004428039,0.000846886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7321082,"threshold_uncertainty_score":0.9907748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008587829381109507,"score_gpt":0.2072739951923899,"score_spread":0.1986861658112804,"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."}}