{"id":"W2170691544","doi":"10.1155/2015/807202","title":"Organically Structured Control of Large-Scale Systems with Expanding Construction Based on State Observation","year":2015,"lang":"en","type":"article","venue":"Abstract and Applied Analysis","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Observer (physics); State (computer science); Scale (ratio); Controller (irrigation); Mathematics; State observer; Decentralised system; Mathematical optimization; Matrix (chemical analysis); Control (management); Computer science; Algorithm; Artificial intelligence; Nonlinear system","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":[0.0003116992,0.0001102763,0.0002756353,0.0001118594,0.00008343733,0.00009956284,0.000125608,0.00004953304,0.000004749263],"category_scores_gemma":[0.000009732954,0.00008460135,0.00003797401,0.0007694109,0.00004228831,0.0001743792,0.00001440399,0.00008013049,7.958134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002966063,"about_ca_system_score_gemma":0.00004254664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002389323,"about_ca_topic_score_gemma":0.00005843483,"domain_scores_codex":[0.9989969,0.00003210445,0.0002747425,0.0002677453,0.0002867869,0.0001417126],"domain_scores_gemma":[0.99922,0.00008880541,0.0002247501,0.0002531886,0.0001276718,0.00008558779],"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":[0.0001506811,0.0000799487,0.04347141,0.00003684388,0.0002139139,0.000001651428,0.0004346446,0.9449492,0.002690952,0.003648809,0.00001270105,0.004309216],"study_design_scores_gemma":[0.001333845,0.0001034098,0.05402686,0.00001512527,0.0001869627,0.000001194637,0.0002314015,0.9418374,0.001605374,0.0004760146,0.00002071063,0.0001616735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4568537,0.00001302007,0.5428125,0.00006196849,0.00003000772,0.0001089392,0.000006923582,0.0000311603,0.00008179301],"genre_scores_gemma":[0.9948914,0.00000274347,0.004985507,0.00005685768,0.00002272741,0.000006110209,0.0000257205,0.000004672782,0.000004266934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5380377,"threshold_uncertainty_score":0.3449943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111687061516559,"score_gpt":0.2183536303828613,"score_spread":0.2072367597676957,"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."}}