{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243187,0.0008048835,0.0007193698,0.0004435426,0.0003154904,0.0006912378,0.0007953714,0.0005830164,0.0008074751],"category_scores_gemma":[0.002817465,0.0004121586,0.00080282,0.0004787146,0.0007077368,0.0008377974,0.0007238014,0.001156916,0.0001844144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109806,"about_ca_system_score_gemma":0.001053716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006537115,"about_ca_topic_score_gemma":0.003111309,"domain_scores_codex":[0.9993339,0.0001940793,0.00004202113,0.0001627221,0.0002225643,0.00004461189],"domain_scores_gemma":[0.9988018,0.000635041,0.0002100665,0.000113598,0.0002155552,0.00002399598],"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":[0.0000338391,0.0000184762,0.0002399028,0.00005049869,0.0000220864,0.00001262589,0.00003902638,0.9755392,0.002659952,0.005323033,0.0001328773,0.01592838],"study_design_scores_gemma":[0.00000184989,0.000009833378,0.00004787279,0.000001236425,0.000001376178,0.000001695287,0.000001808669,0.998184,0.0004185757,0.001219219,0.0001098332,0.000002638908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004950934,0.0000741832,0.9944701,0.00003317191,0.000007407126,0.00001444328,0.00003257321,0.0001291629,0.000287934],"genre_scores_gemma":[0.8756039,0.0003046755,0.1218941,0.00004670643,0.00003305684,0.0002750918,0.0002900839,0.00006631634,0.00148598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006537115,"threshold_uncertainty_score":0.0129981,"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."}}