{"id":"W4407574665","doi":"10.1109/tac.2025.3542329","title":"Matrix-Scheduling of QSR-Dissipative Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dissipative system; Scheduling (production processes); Computer science; Matrix (chemical analysis); Control theory (sociology); Physics; Mathematics; Mathematical optimization; Control (management); Materials science; Artificial intelligence","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":[0.0005265499,0.0005284378,0.0002663318,0.0001954688,0.0002890851,0.000554589,0.0004639618,0.0002387264,0.002616245],"category_scores_gemma":[0.001040888,0.0001543563,0.0002626337,0.0002019878,0.0004874102,0.0004765915,0.000423874,0.0004386274,0.0004619494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977467,"about_ca_system_score_gemma":0.0005591617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450426,"about_ca_topic_score_gemma":0.001358107,"domain_scores_codex":[0.9996096,0.00009321437,0.00002612436,0.00008978044,0.0001395309,0.00004175302],"domain_scores_gemma":[0.9995391,0.0001542903,0.0001092786,0.00005597459,0.00012065,0.0000206909],"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":[0.0001440095,0.00007038844,0.0004180458,0.0002059793,0.0000255799,0.0001341891,0.0002198961,0.803037,0.05420589,0.08029069,0.0006581841,0.06059021],"study_design_scores_gemma":[0.00001504288,0.000125137,0.0001266014,0.00000685888,0.000008277097,0.0000283987,0.00001678037,0.9761428,0.01025875,0.01127733,0.001986048,0.000007945529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02780806,0.00008860114,0.9659959,0.00005356958,0.00003033646,0.00005325611,0.00003195136,0.0002562979,0.005682057],"genre_scores_gemma":[0.9191787,0.000171402,0.07633405,0.00004427832,0.00003413197,0.00009682238,0.00007620301,0.00004714882,0.00401736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002616245,"threshold_uncertainty_score":0.008752227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217168161536329,"score_gpt":0.2789253773278493,"score_spread":0.266753695712486,"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."}}