{"id":"W2402745642","doi":"10.2316/journal.201.2009.2.201-1806","title":"ADAPTIVE SAMPLING FOR REAL-TIME CONTROL BASED ON SAMPLING URGENCY","year":2009,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptive sampling; Sampling (signal processing); Computer science; Statistics; Mathematics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040841,0.0005512376,0.000628553,0.0005000036,0.00036007,0.0007917684,0.0005740756,0.0003782859,0.001639304],"category_scores_gemma":[0.004462421,0.0002499938,0.0003556301,0.000464864,0.0004960532,0.0006704866,0.000506451,0.0009291875,0.0001694717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005462838,"about_ca_system_score_gemma":0.000554644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813808,"about_ca_topic_score_gemma":0.002061548,"domain_scores_codex":[0.9995379,0.0001218594,0.00004446115,0.000103387,0.0001425464,0.0000499147],"domain_scores_gemma":[0.9984618,0.0009778953,0.0001390283,0.0001333775,0.0002289243,0.00005893346],"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":[0.001479171,0.0001611477,0.002416873,0.000466599,0.0001349156,0.0001933423,0.0004248973,0.3977071,0.04285008,0.07753915,0.001802371,0.4748244],"study_design_scores_gemma":[0.00003264588,0.0001331569,0.0005622453,0.0000179892,0.00002173577,0.00004910645,0.000009338021,0.9904794,0.002337772,0.00548328,0.0008582349,0.00001507364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02126185,0.0005777353,0.9757295,0.000120195,0.0001463247,0.0000409381,0.0000223367,0.0003021154,0.001798963],"genre_scores_gemma":[0.9389039,0.0003111214,0.05888389,0.00007733891,0.0001091306,0.00007722121,0.00003945263,0.00003323949,0.001564598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001813808,"threshold_uncertainty_score":0.005504608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238492578576562,"score_gpt":0.2478720438001892,"score_spread":0.2254871180144236,"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."}}