{"id":"W4393213779","doi":"10.48550/arxiv.2403.18055","title":"Adaptive Boundary Control of the Kuramoto-Sivashinsky Equation Under Intermittent Sensing","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Boundary (topology); Control theory (sociology); Computer science; Control (management); Mathematics; Physics; Mathematical analysis; 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":[0.0004063809,0.0006462304,0.0006199016,0.0002356795,0.0003094206,0.0006153833,0.0005335779,0.0006218568,0.0005489431],"category_scores_gemma":[0.001211282,0.0001731575,0.0003299221,0.0001372873,0.000967538,0.0006045794,0.001222794,0.0004876084,0.00006313557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940685,"about_ca_system_score_gemma":0.0003505694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003790993,"about_ca_topic_score_gemma":0.001257087,"domain_scores_codex":[0.9998237,0.00004872695,0.000007829909,0.00004904079,0.00004240494,0.00002821095],"domain_scores_gemma":[0.9995964,0.0001667894,0.0001153331,0.00002114242,0.00006932392,0.00003099695],"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":[0.0002520567,0.00004591222,0.002336396,0.0001532632,0.00004461434,0.0004849114,0.0003722791,0.8977929,0.04218943,0.04075666,0.0005724152,0.01499917],"study_design_scores_gemma":[0.00001028881,0.00004049526,0.0002128794,0.000004041719,0.000003814929,0.00001281501,0.00002227514,0.9962219,0.0009858999,0.00232356,0.0001563361,0.000005719366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4533123,0.0006809869,0.5380266,0.0004373505,0.0001072871,0.00003267733,0.00004910827,0.0001644431,0.00718923],"genre_scores_gemma":[0.9949156,0.0001019927,0.003735615,0.00002359164,0.00001291919,0.00003012163,0.00001504234,0.000007957597,0.001157138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003790993,"threshold_uncertainty_score":0.007537901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650172718499622,"score_gpt":0.1724529021050967,"score_spread":0.1159511749201005,"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."}}