{"id":"W2109569369","doi":"10.1145/2185632.2185644","title":"Computing the viability kernel using maximal reachable sets","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kernel (algebra); Scalability; Connection (principal bundle); Dimension (graph theory); Computer science; State space; Kernel method; Algorithm; State (computer science); Mathematics; Discrete mathematics; Support vector machine; Combinatorics; Artificial intelligence; Geometry","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":[0.0002966894,0.00009048532,0.0001008512,0.00001617313,0.00008460136,0.0000195647,0.00007758986,0.00003935505,0.00002752943],"category_scores_gemma":[0.00002691106,0.00006647812,0.00002752286,0.00009265032,0.00001469269,0.0002451905,0.00002775982,0.00008519672,0.0000234054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009983564,"about_ca_system_score_gemma":0.000003865576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004575777,"about_ca_topic_score_gemma":0.000003375458,"domain_scores_codex":[0.9993712,0.00003016298,0.0001618572,0.00007585218,0.000086286,0.0002746693],"domain_scores_gemma":[0.9996392,0.00006102655,0.00002430804,0.0002069637,0.0000236161,0.00004488479],"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":[0.000001531821,0.000007509665,0.006296732,0.00002032618,0.00001319462,1.372268e-7,0.000236887,0.988111,0.002561047,0.0006247025,0.0000497961,0.002077152],"study_design_scores_gemma":[0.0001085371,0.00000205925,0.001938625,0.000005880633,0.000006942857,0.00000890636,0.00008022593,0.9966223,0.0004260109,0.0000794673,0.0006313708,0.000089688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1799486,0.0001880792,0.8104546,0.00002061472,0.0003689729,0.0002181052,0.000001021124,0.0003437391,0.008456278],"genre_scores_gemma":[0.9759266,8.218158e-7,0.02381575,0.00002598167,0.0001572901,0.000003374216,0.000001621548,0.00002165334,0.0000468887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7959781,"threshold_uncertainty_score":0.2710899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620890885489798,"score_gpt":0.2390736151726156,"score_spread":0.2228647063177177,"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."}}