{"id":"W2055778119","doi":"10.1002/aic.12352","title":"Robust processes through latent variable modeling and optimization","year":2010,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Robustness (evolution); Latent variable; Process control; Process (computing); Computer science; Principal component analysis; Process modeling; Partial least squares regression; Robustness testing; Process engineering; Work in process; Control engineering; Control theory (sociology); Engineering; Control (management); Machine learning; Artificial intelligence; Operations management","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":[0.004244754,0.001454579,0.001810747,0.001662524,0.0006007021,0.001879863,0.001338967,0.001248433,0.002290442],"category_scores_gemma":[0.007672897,0.00100793,0.002072634,0.001247322,0.001579415,0.001487442,0.001893015,0.002146041,0.0005613254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017707,"about_ca_system_score_gemma":0.002045848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005575043,"about_ca_topic_score_gemma":0.00335558,"domain_scores_codex":[0.9978933,0.001144556,0.00009583931,0.0003103311,0.0004359944,0.000119965],"domain_scores_gemma":[0.9959772,0.002814435,0.0004596418,0.0002579099,0.0004372151,0.00005371843],"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":[0.0000201475,0.00001455832,0.0001313336,0.00003728558,0.00004057374,0.0000172962,0.00002068343,0.9615927,0.0004486303,0.02568663,0.0001660141,0.01182412],"study_design_scores_gemma":[0.000004204827,0.000005331025,0.00001835656,0.000003975151,0.000003583053,0.000001880542,0.00000165216,0.9909526,0.0001888302,0.008612812,0.0002029395,0.000003793687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001278732,0.00007858309,0.9980668,0.0000624152,0.000004801239,0.00001353683,0.00002372104,0.0001237985,0.000347611],"genre_scores_gemma":[0.3011758,0.000567215,0.694311,0.00007896491,0.00008905509,0.0006002969,0.0004729125,0.0002942457,0.002410507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005575043,"threshold_uncertainty_score":0.02244872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542440667545609,"score_gpt":0.2035820479082943,"score_spread":0.1881576412328382,"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."}}