{"id":"W2983504627","doi":"10.1515/revce-2018-0067","title":"Uncertainty in chemical process systems engineering: a critical review","year":2019,"lang":"en","type":"review","venue":"Reviews in Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Uncertainty analysis; Merge (version control); Process (computing); Propagation of uncertainty; Multidisciplinary approach; Industrial engineering; Data mining; Uncertainty quantification; Risk analysis (engineering); Management science; Machine learning; Algorithm; Engineering; Simulation; Information retrieval","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006886448,0.001052407,0.004317497,0.0004442882,0.000008118888,0.0000688998,0.0006996422,0.0007591897,0.0000523517],"category_scores_gemma":[0.002379566,0.0009517442,0.0005147849,0.001683493,0.00002413729,0.0002690041,0.00007383845,0.001820242,0.0001368777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009242577,"about_ca_system_score_gemma":0.0001157135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002903019,"about_ca_topic_score_gemma":2.338542e-7,"domain_scores_codex":[0.9956114,0.00005649094,0.00247393,0.0007179193,0.0003554556,0.0007847663],"domain_scores_gemma":[0.9985603,0.0003785557,0.0001519901,0.000612508,0.00007504301,0.0002215786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001111983,0.00004834329,2.808e-7,0.7647493,0.00003507913,0.00001488599,0.00002192689,0.09667949,0.00004257517,0.0004116194,0.0006138476,0.1373816],"study_design_scores_gemma":[0.00009982121,0.000004034057,1.55229e-8,0.2231181,0.0001227737,0.00004284032,9.400272e-7,0.2013352,0.00001463697,0.000001572334,0.5745955,0.0006644988],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001260854,0.994615,0.001830731,0.00001257393,0.0006026409,0.002109542,0.00002195655,0.0003655057,0.0004408056],"genre_scores_gemma":[0.00004787952,0.9965177,0.0009873434,0.0000331806,0.0002128512,0.001737647,0.0002336864,0.0002151948,0.00001447184],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5739816,"threshold_uncertainty_score":0.9992933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0490105961897821,"score_gpt":0.3273375912007691,"score_spread":0.278326995010987,"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."}}