{"id":"W2749729784","doi":"10.1115/gt2017-64271","title":"Review of Hybrid Emissions Prediction Tools and Uncertainty Quantification Methods for Gas Turbine Combustion Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"University of Galway; Siemens Canada; Science Foundation Ireland; College of Engineering and Informatics, National University of Ireland, Galway","keywords":"Combustion; Flexibility (engineering); Computational fluid dynamics; Computer science; Gas turbines; Process engineering; Uncertainty quantification; Systems engineering; Engineering; Aerospace engineering; Mechanical engineering; Machine learning; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001561522,0.00141485,0.001387571,0.00183535,0.0002961468,0.001389831,0.001628403,0.001012622,0.002362082],"category_scores_gemma":[0.002171738,0.0008254994,0.001411912,0.002689699,0.0004512934,0.001954296,0.0008980113,0.001010437,0.0007591509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792977,"about_ca_system_score_gemma":0.001013615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442213,"about_ca_topic_score_gemma":0.001152943,"domain_scores_codex":[0.9991136,0.0001803268,0.0001135931,0.0001454208,0.000415143,0.00003182777],"domain_scores_gemma":[0.9987361,0.0007750026,0.00009630725,0.00006791613,0.0003055327,0.00001921771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006601059,0.00007677075,0.000689327,0.01487688,0.0003135664,0.0001347965,0.0001645289,0.1323927,0.005067148,0.04600509,0.01034904,0.7898642],"study_design_scores_gemma":[0.00003633427,0.0002597814,0.002705966,0.006715932,0.0004752176,0.0006640503,0.0001795351,0.3664586,0.01030567,0.05423221,0.5576967,0.0002701196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003129005,0.631576,0.3549069,0.0005482485,0.0006710525,0.00006571028,0.0003233934,0.000512464,0.008267122],"genre_scores_gemma":[0.06387196,0.714745,0.214038,0.0003714636,0.00133457,0.0002188452,0.0007246679,0.0003039351,0.004391639],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002442213,"threshold_uncertainty_score":0.008258224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06335250392643153,"score_gpt":0.3660762907215017,"score_spread":0.3027237867950701,"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."}}