{"id":"W4210734371","doi":"10.1016/j.ces.2022.117493","title":"A multiscale approach for the integrated design of emulsified cosmetic products","year":2022,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process engineering; Biochemical engineering; Computer science; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008707447,0.00007308478,0.00009707186,0.00004588002,0.0002025744,0.0000285294,0.0005012304,0.00001253597,0.00002234633],"category_scores_gemma":[0.0009301885,0.00005246646,0.00002108251,0.0008060571,0.0002203609,0.00007906485,0.0001383525,0.00007691598,9.409629e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000647827,"about_ca_system_score_gemma":0.00007588199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004612491,"about_ca_topic_score_gemma":1.196686e-8,"domain_scores_codex":[0.9990806,0.00001527551,0.0001414821,0.000255206,0.0002757875,0.0002316275],"domain_scores_gemma":[0.9993568,0.0001969101,0.00004401015,0.0002554008,0.0001035967,0.00004329846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001043974,0.00002769068,0.000004020046,0.00001578578,6.925016e-7,5.622399e-8,0.0001355636,0.3138299,0.6856281,0.0001458582,0.0000379447,0.0001639179],"study_design_scores_gemma":[0.00007953589,0.00001952653,0.00003612597,0.000002478327,0.000003495085,0.00000231865,0.00003744824,0.4838662,0.5157982,0.000007050779,0.0001044532,0.00004322432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314578,0.00005288217,0.4678411,0.00005028326,0.0001646418,0.0003609958,0.00001164625,0.00005254712,0.000008185514],"genre_scores_gemma":[0.925105,5.1377e-7,0.07463089,0.000009076795,0.00001578372,0.0002025551,0.000002857013,0.000007797023,0.0000254995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3936473,"threshold_uncertainty_score":0.213952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030459165787992,"score_gpt":0.239295691209712,"score_spread":0.20883652542172,"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."}}