{"id":"W3163018137","doi":"10.1021/acs.jafc.1c01877","title":"Recent Innovations in Emulsion Science and Technology for Food Applications","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Food and Agriculture; European Commission; H2020 European Research Council; Canada Foundation for Innovation; U.S. Department of Agriculture","keywords":"Emulsion; Pickering emulsion; Materials science; Food industry; Nanotechnology; Bioavailability; Chemistry; Chemical engineering; Food science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001371844,0.00004502879,0.00008225587,0.00003305541,0.0001186246,0.00004438045,0.00006595202,0.00003809407,0.00000609499],"category_scores_gemma":[0.0001873167,0.00002978947,0.000008604748,0.0006588044,0.00009271735,0.000132641,0.00004631011,0.00005873228,1.536649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003282466,"about_ca_system_score_gemma":0.00005306184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.234356e-7,"about_ca_topic_score_gemma":0.000003634302,"domain_scores_codex":[0.9994972,0.000003557921,0.0001950929,0.0001055109,0.0001037048,0.00009495915],"domain_scores_gemma":[0.9990059,0.00002106551,0.0001004698,0.0000507263,0.0007803111,0.00004155731],"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":[0.000002391201,0.00003423926,0.0003629556,0.00002233925,0.000001579109,1.579339e-7,0.00004447722,0.00001057031,0.9952958,0.0003129691,0.0000341166,0.003878429],"study_design_scores_gemma":[0.0002913311,0.00008803659,0.01086419,0.00003336549,0.000006283321,0.0001321568,0.0006646421,0.00001614141,0.9841619,0.0008729871,0.002812858,0.00005615761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997217,0.0007607418,0.0001296862,0.001727858,0.00003064757,0.00005934115,0.00001020147,0.000005805187,0.0000587285],"genre_scores_gemma":[0.9982621,0.000189774,0.001463147,0.0000126764,0.00004051893,0.00001108988,0.000002302183,0.000001441867,0.00001694697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01113392,"threshold_uncertainty_score":0.1214779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412151286533884,"score_gpt":0.2426318993870011,"score_spread":0.2285103865216623,"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."}}