{"id":"W4390661792","doi":"10.1016/j.ces.2024.119737","title":"A population balance model for cosmetic emulsion design: A multiscale approach","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ministerio de Ciencia, Tecnología e Innovación","keywords":"Emulsion; Population; Process engineering; Product (mathematics); Product design; Computer science; Mathematics; Engineering; Chemical engineering","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":[0.0009070034,0.0008438769,0.001622023,0.0007256482,0.0006587435,0.001260364,0.001949036,0.002766055,0.005148254],"category_scores_gemma":[0.002534402,0.0007776146,0.001375947,0.000497654,0.0009583639,0.001487789,0.001674993,0.001370591,0.0005945289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086901,"about_ca_system_score_gemma":0.001225616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005655319,"about_ca_topic_score_gemma":0.003530798,"domain_scores_codex":[0.9997419,0.0000924512,0.00001013617,0.00004716747,0.00006669885,0.00004160332],"domain_scores_gemma":[0.999229,0.0004755965,0.00008210047,0.0000333711,0.0001074756,0.00007260876],"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":[0.00001422418,0.00003811202,0.0001946862,0.00003948521,0.00002682866,0.00006543098,0.0000249176,0.9464915,0.001619073,0.04800749,0.0006918638,0.002786369],"study_design_scores_gemma":[0.000003512091,0.000005513178,0.0000218893,0.000001817169,0.000003748741,0.000004248674,0.00000244657,0.99595,0.00003824814,0.003813097,0.0001528315,0.000002530919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02982375,0.0006902869,0.9514589,0.001377181,0.000167854,0.00008338739,0.0001982906,0.0001209981,0.01607934],"genre_scores_gemma":[0.8688905,0.001329644,0.09807348,0.0008724499,0.0003722405,0.0005700499,0.0002468087,0.0002345073,0.0294104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005655319,"threshold_uncertainty_score":0.01722264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873838777371506,"score_gpt":0.2490758454191804,"score_spread":0.2303374576454653,"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."}}