{"id":"W4405484393","doi":"10.1016/j.cofs.2024.101265","title":"Recent advances in Pickering emulsions for inhibiting foodborne bacteria","year":2024,"lang":"en","type":"article","venue":"Current Opinion in Food Science","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Centre de Recherche sur les Systèmes Polymères et Composites à Haute Performance","keywords":"Pickering emulsion; Bacteria; Biology; Food science; Emulsion; Biochemistry","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":[0.00105159,0.0001265349,0.000137837,0.0003411512,0.0001790267,0.0002387807,0.0002809954,0.00002973905,0.00004337252],"category_scores_gemma":[0.0004228927,0.0001157975,0.00002999466,0.001450232,0.0001772635,0.001102078,0.0001439989,0.0001122464,0.00002087355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745544,"about_ca_system_score_gemma":0.0001656827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002308095,"about_ca_topic_score_gemma":0.00003020458,"domain_scores_codex":[0.9982432,0.0000385719,0.0004060494,0.0005636309,0.0002747688,0.0004737971],"domain_scores_gemma":[0.9994611,0.0001332038,0.00005267242,0.0001828736,0.00007814894,0.00009203344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004779147,0.0002050126,0.001761958,0.0007610231,9.270135e-7,6.732199e-7,0.002476224,0.004443207,0.5815712,0.01558979,0.0001209015,0.3930213],"study_design_scores_gemma":[0.001964897,0.001096477,0.01515515,0.009358083,0.00000714082,0.00001750737,0.00133965,0.1723332,0.2780106,0.01013729,0.5091919,0.001388176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698383,0.01482859,0.004326367,0.0002409851,0.01005335,0.0004590231,0.00003482779,0.0001118412,0.0001067053],"genre_scores_gemma":[0.9963831,0.002312854,0.0009977813,0.000005405029,0.0001437905,0.0001332872,0.000008892313,0.00001148172,0.000003453553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.509071,"threshold_uncertainty_score":0.4722085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08281491574326284,"score_gpt":0.3779756398386748,"score_spread":0.2951607240954119,"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."}}