{"id":"W4395068856","doi":"10.46254/eu04.20210382","title":"Using Aspen Plus to Simulate Pharmaceutical Processes – An Aspirin Case Study","year":2021,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Computer science; Aspirin; Process engineering; Engineering; Medicine; Internal medicine","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":[0.0009580102,0.001023523,0.0006074857,0.0006184328,0.0007102387,0.001281453,0.001242608,0.001880419,0.005737627],"category_scores_gemma":[0.001883195,0.0003466915,0.0007749614,0.0006972739,0.0006085925,0.0007891186,0.0008196087,0.001035399,0.0004906745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348203,"about_ca_system_score_gemma":0.001250821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898085,"about_ca_topic_score_gemma":0.01226629,"domain_scores_codex":[0.9995479,0.0001631615,0.00003356147,0.00004903156,0.000130363,0.00007592549],"domain_scores_gemma":[0.9984079,0.0009978908,0.00008780359,0.0001237753,0.0002396335,0.0001430268],"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":[0.0002730848,0.000310035,0.003942498,0.000164301,0.00003323449,0.001064928,0.0001279996,0.9767592,0.001499777,0.005098726,0.001712913,0.009013364],"study_design_scores_gemma":[0.00009958771,0.0002146684,0.001290318,0.0000182488,0.00002388123,0.0001204127,0.0001721941,0.9871836,0.002398557,0.001622506,0.006841164,0.00001477083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984005,0.0009565533,0.04882021,0.001294786,0.0001554139,0.0005433726,0.002386509,0.001254234,0.04618843],"genre_scores_gemma":[0.9677335,0.0005882171,0.02268625,0.00008578671,0.00001847631,0.0002068575,0.001062686,0.00007896887,0.007539364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898085,"threshold_uncertainty_score":0.03774077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1872368848476612,"score_gpt":0.3950897535855261,"score_spread":0.207852868737865,"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."}}