{"id":"W1521251767","doi":"10.1109/ccece.1993.332368","title":"Optimal control for large scale systems-a recursive approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Convergence (economics); Computer science; Scale (ratio); Rate of convergence; Coupling (piping); Point (geometry); Simple (philosophy); Mathematical optimization; Algorithm; Applied mathematics; Mathematics; Key (lock); Engineering","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":[0.0005864104,0.0006738057,0.0008025611,0.0003308216,0.0004296858,0.0008059565,0.0007985222,0.0009341946,0.002905733],"category_scores_gemma":[0.001397684,0.0003792472,0.0005539345,0.0003720734,0.0009286432,0.0008287438,0.0007856765,0.0009697408,0.0004212499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008189779,"about_ca_system_score_gemma":0.0007188435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005460289,"about_ca_topic_score_gemma":0.005133244,"domain_scores_codex":[0.9997423,0.00009254917,0.000009944223,0.00005931461,0.00006611498,0.00002971193],"domain_scores_gemma":[0.9997088,0.000172468,0.00003374388,0.00002285576,0.00005081849,0.00001128898],"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":[0.00001533824,0.00001658123,0.0001590278,0.00007843728,0.00002452039,0.00005405371,0.00007860569,0.887708,0.001778773,0.08271734,0.000686185,0.02668312],"study_design_scores_gemma":[0.000003965361,0.000009917379,0.00003768371,0.0000050065,0.000003392957,0.000006600958,0.000007206933,0.9874042,0.0001762607,0.01117571,0.001166359,0.000003711559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004737218,0.0004739629,0.9907271,0.0001039443,0.00002287883,0.00001814772,0.00001179147,0.0001039095,0.003801036],"genre_scores_gemma":[0.6434357,0.001726883,0.3408968,0.0001813391,0.0001087485,0.0003830283,0.0001048257,0.0001893371,0.01297344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005460289,"threshold_uncertainty_score":0.01085705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08861439423409893,"score_gpt":0.3390044795964468,"score_spread":0.2503900853623478,"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."}}