{"id":"W2327999114","doi":"10.3166/jesa.47.109-123","title":"Sur la stabilisation de systèmes min-max-plus incertains","year":2013,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.00296416,0.00301855,0.002027137,0.001219567,0.001368788,0.003323223,0.001234239,0.001935562,0.006069172],"category_scores_gemma":[0.01121532,0.0006163803,0.00164903,0.0009052111,0.003677616,0.001917743,0.002114588,0.00609838,0.001080408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538533,"about_ca_system_score_gemma":0.002058522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620249,"about_ca_topic_score_gemma":0.006442304,"domain_scores_codex":[0.9982035,0.0006418079,0.00007082588,0.0003590923,0.000502889,0.0002218651],"domain_scores_gemma":[0.9942579,0.004459795,0.0002587494,0.0001866706,0.0006302727,0.0002065499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001511025,0.0001156651,0.0007736718,0.0004387737,0.0002089717,0.0004202216,0.0006148905,0.8225137,0.01407089,0.1069211,0.002426006,0.04998507],"study_design_scores_gemma":[0.00007578051,0.0002745742,0.0004762235,0.00004099343,0.00003182594,0.00007512621,0.00008724438,0.9655077,0.003880771,0.02770619,0.001813382,0.00003019059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023155,0.002859873,0.8696858,0.001246562,0.0005791579,0.0001422083,0.0001464684,0.0005675583,0.02245687],"genre_scores_gemma":[0.8939162,0.002713613,0.06861348,0.0003919617,0.0006013433,0.0003315023,0.0002734282,0.0003057556,0.03285274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01620249,"threshold_uncertainty_score":0.03221637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462736165732768,"score_gpt":0.2571209000025708,"score_spread":0.2324935383452431,"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."}}