{"id":"W2498963609","doi":"10.1109/acc.2016.7525576","title":"Data-driven quality control of batch processes via subspace identification","year":2016,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Control theory (sociology); Subspace topology; Computer science; Identification (biology); Process (computing); Controller (irrigation); Quality (philosophy); State space; Set (abstract data type); Batch processing; Process control; Latent variable; Control (management); Mathematics; Artificial intelligence","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":[0.0009556099,0.00061779,0.0005792133,0.0003277074,0.0002589068,0.0007540401,0.0008101565,0.0003847061,0.0005972474],"category_scores_gemma":[0.002252717,0.0003243759,0.0005801923,0.0003338674,0.0006780017,0.0009332969,0.0007232295,0.0008950807,0.0001523215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578621,"about_ca_system_score_gemma":0.0008224365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622408,"about_ca_topic_score_gemma":0.002103286,"domain_scores_codex":[0.9993519,0.0001347337,0.00003575437,0.0001792656,0.0002579697,0.00004047307],"domain_scores_gemma":[0.9988594,0.0005304851,0.0002378136,0.0001291605,0.0002171264,0.00002608196],"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":[0.00006814815,0.00004631337,0.0004722455,0.00007410532,0.00002351654,0.00002002427,0.000071218,0.9444794,0.01157158,0.004931703,0.0001951882,0.03804665],"study_design_scores_gemma":[0.00000276284,0.00002676334,0.00009614787,0.000001753346,0.000002049205,0.000003140986,0.000002995664,0.9969987,0.001743357,0.0009714286,0.0001470475,0.000003975849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009758657,0.00006220494,0.9895858,0.00003219818,0.00000758365,0.0000157599,0.0000237498,0.0001614629,0.0003525165],"genre_scores_gemma":[0.9080125,0.000149841,0.09037434,0.00003174046,0.00001775751,0.0001185566,0.0001293023,0.00004601047,0.001120002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003622408,"threshold_uncertainty_score":0.007202685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400921047535145,"score_gpt":0.2737197143714615,"score_spread":0.2497105038961101,"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."}}