{"id":"W4317241200","doi":"10.1016/j.jafr.2023.100510","title":"Pickering emulsions for functional food systems","year":2023,"lang":"en","type":"article","venue":"Journal of Agriculture and Food Research","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo","funders":"","keywords":"Pickering emulsion; Nanotechnology; Computer science; Emulsion; Biochemical engineering; Nanoparticle; Engineering; Materials science; 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":[0.0006230735,0.0007137926,0.0005880265,0.0009403228,0.0003608137,0.0007388024,0.0004994912,0.001148746,0.003497037],"category_scores_gemma":[0.0004703065,0.0003340005,0.0004683617,0.0005439283,0.0004508295,0.001292627,0.0007900124,0.001765946,0.001957399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005918341,"about_ca_system_score_gemma":0.0002384387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000256545,"about_ca_topic_score_gemma":0.0003877181,"domain_scores_codex":[0.9996299,0.00006137993,0.00002938897,0.0000785934,0.0001633341,0.00003729442],"domain_scores_gemma":[0.9998585,0.00005828875,0.00002957115,0.000009670827,0.00003243867,0.00001150265],"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":[0.00007440813,0.00007829016,0.0001020923,0.004215659,0.00004439152,0.0006959337,0.0002533598,0.001201137,0.8507335,0.03442371,0.004594258,0.1035832],"study_design_scores_gemma":[0.00002772071,0.000449384,0.0003610296,0.0004308137,0.00004889734,0.00154671,0.00006808549,0.002672053,0.5533687,0.007552409,0.4334121,0.00006208367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05807438,0.7585812,0.1383035,0.002086886,0.002397386,0.0004189156,0.0004643386,0.0008351863,0.03883829],"genre_scores_gemma":[0.3557657,0.4600856,0.1431209,0.001904901,0.0009011289,0.0005539779,0.000841193,0.0003449904,0.03648168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003497037,"threshold_uncertainty_score":0.01169872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302041302180064,"score_gpt":0.3443175750595278,"score_spread":0.2141134448415214,"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."}}