{"id":"W2010954562","doi":"10.1016/j.automatica.2011.05.007","title":"Parameter estimation with scarce measurements","year":2011,"lang":"gl","type":"article","venue":"Automatica","topic":"Control Systems and Identification","field":"Engineering","cited_by":259,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Lemma (botany); Estimation theory; Kronecker delta; Mathematics; Convergence (economics); Estimation; Applied mathematics; Representation (politics); Mathematical optimization; Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002933428,0.0002121453,0.0002561836,0.00009746518,0.00007929771,0.000109148,0.0001581638,0.00009573215,0.0003891322],"category_scores_gemma":[0.0000700038,0.0001873369,0.00005824708,0.0001766021,0.0000334182,0.0003039275,0.00001690596,0.00009990332,0.001220026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009588593,"about_ca_system_score_gemma":0.00002739728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000216556,"about_ca_topic_score_gemma":0.00003602139,"domain_scores_codex":[0.9986438,0.00005825923,0.0004298345,0.0002272797,0.0003578282,0.0002829976],"domain_scores_gemma":[0.9991556,0.00004004528,0.0001236984,0.0004880125,0.00009591674,0.00009670823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003490001,0.001721853,0.03481957,0.007272889,0.005325373,0.00007972428,0.05322382,0.008174353,0.04461165,0.008744587,0.01573164,0.8199455],"study_design_scores_gemma":[0.0008710193,0.000136231,0.136288,0.0005768829,0.0003111968,0.00001752298,0.0001105225,0.8563591,0.003814416,0.0007606372,0.0003264117,0.0004280406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5357303,0.001194229,0.3985814,0.0002049919,0.001751846,0.002310634,0.00001905195,0.001402261,0.05880528],"genre_scores_gemma":[0.9774473,0.000004971997,0.02189226,0.00001529711,0.00004844838,0.00007377111,0.000009016279,0.00004415947,0.0004647762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8481847,"threshold_uncertainty_score":0.9995576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05071877027501033,"score_gpt":0.2139566219083597,"score_spread":0.1632378516333494,"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."}}