{"id":"W2017762918","doi":"10.1016/j.foodchem.2013.05.057","title":"Encapsulation of coenzyme Q10 in a simple emulsion-based nutraceutical formulation and application in cheese manufacturing","year":2013,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Coenzyme Q10 studies and effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Coenzyme Q10; Emulsion; Nutraceutical; Chemistry; Food science; Chromatography; Yield (engineering); Lecithin; High-performance liquid chromatography; Organic chemistry; Biochemistry; Materials science","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":[0.00006716986,0.000100219,0.0001168686,0.00002317655,0.00002210878,0.000007597368,0.00005340794,0.0001337994,0.00001222025],"category_scores_gemma":[0.0000408185,0.0001032595,0.00002722971,0.00005795262,0.00002627807,0.000005440122,0.0000488452,0.00007140886,0.000001117268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199881,"about_ca_system_score_gemma":0.00001197996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009104281,"about_ca_topic_score_gemma":0.00008482458,"domain_scores_codex":[0.9993471,0.000009613231,0.0001991115,0.0002162863,0.00007530519,0.0001526162],"domain_scores_gemma":[0.9996932,0.00001725747,0.00006148645,0.0001619531,0.00002761925,0.00003851758],"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":[0.00003490428,0.0000602,0.00829642,0.0001277887,0.000005204635,2.319405e-7,0.000028915,0.0003704786,0.9898685,0.000004956882,0.0002182908,0.0009841766],"study_design_scores_gemma":[0.0007100584,0.00007094813,0.07435523,0.00002128536,0.000003416104,0.000001105275,0.00005149646,0.007939802,0.9163058,0.00015231,0.000284881,0.0001036096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989718,0.0002080843,0.0003837208,0.00008848126,0.000007475529,0.0002423041,0.000005237449,0.000005350486,0.0000875613],"genre_scores_gemma":[0.9995494,0.00001576745,0.0001473475,0.0000246625,0.00005011042,0.00008046362,0.0001145035,0.000009022963,0.000008668488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07356258,"threshold_uncertainty_score":0.4210801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005343993137363688,"score_gpt":0.2303877883610109,"score_spread":0.2250437952236472,"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."}}