{"id":"W2954609262","doi":"10.1002/cjce.23580","title":"Simultaneous fault detection and isolation using semi‐supervised kernel nonnegative matrix factorization","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Non-negative matrix factorization; Fault detection and isolation; Kernel (algebra); Matrix decomposition; Factorization; Computer science; Matrix (chemical analysis); Pattern recognition (psychology); Process (computing); Artificial intelligence; Algorithm; Mathematics; Combinatorics","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":[0.00118936,0.001361292,0.001203592,0.0008681353,0.000453103,0.0007880917,0.001154352,0.0009461169,0.0008306784],"category_scores_gemma":[0.004461731,0.0004342305,0.001183688,0.0005517963,0.0008053101,0.001630629,0.0009145396,0.001260031,0.0003804075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000472799,"about_ca_system_score_gemma":0.0008020385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126042,"about_ca_topic_score_gemma":0.003410109,"domain_scores_codex":[0.9987135,0.0002933498,0.00008094447,0.0003713849,0.0004203565,0.0001204247],"domain_scores_gemma":[0.9975114,0.001072431,0.0004807708,0.0002648474,0.0005916422,0.00007894086],"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":[0.0005398644,0.0002410045,0.003196473,0.0003976121,0.0001911035,0.0003201963,0.0003259034,0.4676914,0.05778489,0.008405063,0.002615427,0.4582911],"study_design_scores_gemma":[0.00000512876,0.00003422943,0.0003441936,0.000004486449,0.000009232709,0.00003968919,0.000009412868,0.9940442,0.003356829,0.001817073,0.0003243927,0.00001108068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0075971,0.00008703952,0.9916272,0.00003635399,0.00001711352,0.00002270588,0.00002087482,0.0003135187,0.0002779933],"genre_scores_gemma":[0.5832823,0.0001929946,0.4144122,0.00009437918,0.00008648654,0.0001138123,0.0002436404,0.0001183018,0.001455897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003126042,"threshold_uncertainty_score":0.006290019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00476984328057931,"score_gpt":0.1849224827996455,"score_spread":0.1801526395190662,"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."}}