{"id":"W2095958814","doi":"10.1109/acc.2002.1025225","title":"A state observer for (bio)processes with uncertain kinetics","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Observer (physics); Control theory (sociology); Stability (learning theory); Computer science; State observer; Kinetics; State variable; Process (computing); State (computer science); Mathematics; Mathematical optimization; Applied mathematics; Algorithm; Artificial intelligence; Physics; Thermodynamics; Nonlinear system; Machine learning; Control (management)","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":[0.0006898758,0.000687836,0.0006780289,0.0003044124,0.0002692082,0.0009105379,0.0006737913,0.001297313,0.0009652214],"category_scores_gemma":[0.00168648,0.0003056157,0.0005556758,0.0002121894,0.0006849745,0.0008520798,0.0007246455,0.001217074,0.0003908382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004994865,"about_ca_system_score_gemma":0.0009123851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519532,"about_ca_topic_score_gemma":0.001209461,"domain_scores_codex":[0.9996434,0.00005261027,0.00002196423,0.00006707985,0.0001881179,0.00002677745],"domain_scores_gemma":[0.999375,0.0002371622,0.0001176629,0.00006767876,0.0001807028,0.00002165606],"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":[0.0003301955,0.000098822,0.001229471,0.0006490781,0.0001019395,0.0003246125,0.0003117547,0.5978051,0.1445345,0.0748767,0.002101952,0.1776358],"study_design_scores_gemma":[0.00002377126,0.0001545457,0.000297267,0.00001715551,0.00002301233,0.00006106235,0.000009408624,0.9833792,0.008349213,0.003970443,0.00369421,0.00002067746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002476871,0.0001169055,0.9965762,0.00004975669,0.00004530373,0.00001617655,0.00001180014,0.0001633084,0.0005436073],"genre_scores_gemma":[0.6647981,0.00105281,0.3261359,0.0001497697,0.0001932575,0.0004450135,0.0002069903,0.00007795123,0.006940275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001519532,"threshold_uncertainty_score":0.00364846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850131000029273,"score_gpt":0.199768005208021,"score_spread":0.1812666952077283,"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."}}