{"id":"W2237689036","doi":"10.1002/aic.15155","title":"Subspace identification for data‐driven modeling and quality control of batch processes","year":2016,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Subspace topology; Control theory (sociology); Computer science; Identification (biology); Process (computing); State space; Set (abstract data type); Quality (philosophy); System identification; Algorithm; Control engineering; Control (management); Engineering; Data modeling; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005889998,0.00005961647,0.0001390486,0.00003760241,0.00004805071,0.00003532966,0.0001193574,0.00003990953,0.00000454849],"category_scores_gemma":[0.0002726646,0.00004156089,0.00002193662,0.00004573361,0.00001165484,0.0002765589,0.000007601222,0.00005208606,0.000001925245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000019218,"about_ca_system_score_gemma":0.00002189337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095952,"about_ca_topic_score_gemma":0.00004565777,"domain_scores_codex":[0.9993775,0.0000296548,0.0003052446,0.00008469731,0.0001044601,0.00009845061],"domain_scores_gemma":[0.999428,0.0001267561,0.00009233129,0.0001522777,0.0001530609,0.00004760442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002300156,0.00003968459,0.004757444,0.0008872661,0.0003859481,8.359407e-7,0.0007096963,0.03057616,0.9155459,0.0002722037,0.001287962,0.04530686],"study_design_scores_gemma":[0.001885581,0.00002791928,0.0004790751,0.0001088047,0.00004343948,0.00002493288,0.000220294,0.9904473,0.00481929,0.0002541004,0.001576846,0.000112366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2305776,0.0007635267,0.7679588,0.0002741402,0.000219593,0.0001144,0.00003113105,0.00003256987,0.00002825339],"genre_scores_gemma":[0.9993604,0.0001867567,0.0002134515,0.000008844513,0.0001386474,0.000008715293,0.000001420213,0.0000107157,0.00007109233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9598712,"threshold_uncertainty_score":0.1694804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437501417099621,"score_gpt":0.295247792521036,"score_spread":0.2508727783500398,"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."}}