{"id":"W4415664389","doi":"10.1021/acs.iecr.5c03037","title":"A Comparative Study of Strategies for Incorporating Uncertainty in Design Space Determination for Pharmaceutical Manufacturing","year":2025,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Process Optimization and Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"MSD Sharp and Dohme","keywords":"Parametric statistics; Nonlinear system; Process (computing); Probabilistic logic; Quality (philosophy); Uncertainty analysis; Key (lock); Quality by Design; Reduction (mathematics); Product (mathematics)","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":[0.009080324,0.00141964,0.0009335362,0.001762206,0.0003066281,0.00115352,0.0007980608,0.000813522,0.0007744724],"category_scores_gemma":[0.01870042,0.0005781289,0.001022762,0.0008663948,0.0006126781,0.001104338,0.000965456,0.0007180736,0.00009743246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010147,"about_ca_system_score_gemma":0.001164633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823525,"about_ca_topic_score_gemma":0.001558168,"domain_scores_codex":[0.9941431,0.004236855,0.0001971522,0.0002222288,0.001031587,0.0001689853],"domain_scores_gemma":[0.9775301,0.02004688,0.000865759,0.0007164527,0.0007481445,0.000092698],"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":[0.0002715581,0.0001796818,0.00151424,0.0003567917,0.0001258544,0.00007951174,0.0002084775,0.831739,0.004866553,0.01126406,0.0001195467,0.1492747],"study_design_scores_gemma":[0.00004506649,0.001305033,0.001130385,0.00008824836,0.0001034761,0.0001011834,0.0001473235,0.9819444,0.007530918,0.005933001,0.001625565,0.00004532467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1780266,0.003067662,0.8113112,0.000224055,0.00002435408,0.0002890424,0.00003889997,0.0002349606,0.006783185],"genre_scores_gemma":[0.7197307,0.0007836947,0.2787033,0.00004344964,0.00001118375,0.0001521956,0.00003917397,0.00004485869,0.0004914522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009080324,"threshold_uncertainty_score":0.04802191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976218480612817,"score_gpt":0.4247954066976935,"score_spread":0.2271735586364118,"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."}}