{"id":"W4298152431","doi":"10.1016/b978-0-12-821683-5.00007-8","title":"Micro- and nanoencapsulation of omega-3 and other nutritional fatty acids: challenges and novel solutions","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"","keywords":"Docosahexaenoic acid; Nutraceutical; Eicosapentaenoic acid; Polyunsaturated fatty acid; Functional food; Bioavailability; Nanocarriers; Chemistry; Fatty acid; Nanotechnology; Medicine; Food science; Materials science; Biochemistry; Drug delivery; Pharmacology","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":[0.0001314702,0.0003874556,0.0002892816,0.000194941,0.000149135,0.0006496295,0.0002845378,0.0004698203,0.003025096],"category_scores_gemma":[0.00005875184,0.0002248336,0.000273356,0.0002827764,0.00023882,0.001049304,0.0003791851,0.0008628569,0.001750094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413899,"about_ca_system_score_gemma":0.0002451721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006190072,"about_ca_topic_score_gemma":0.001257433,"domain_scores_codex":[0.9999597,0.000003152067,0.000001749961,0.00001042006,0.00002002702,0.00000492263],"domain_scores_gemma":[0.9999757,0.00001094441,0.000003161239,0.000002198817,0.000005057763,0.000002911001],"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":[0.00006962824,0.00009903448,0.00007998891,0.0009632632,0.00001690023,0.0001439704,0.0001179276,0.001883093,0.5992511,0.02268746,0.009428998,0.3652586],"study_design_scores_gemma":[0.00001163046,0.0002498829,0.0005029283,0.0003139815,0.00002716739,0.0005178963,0.0001381292,0.005493724,0.3560233,0.01225626,0.6244334,0.00003171547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.09275828,0.603027,0.1274438,0.005966054,0.00395444,0.00008405369,0.0003198398,0.0005922255,0.1658543],"genre_scores_gemma":[0.1268366,0.4325869,0.07359386,0.001932911,0.0008346261,0.0001563567,0.0003689138,0.0003089874,0.363381],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003025096,"threshold_uncertainty_score":0.01011992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036696548543261,"score_gpt":0.2272219615924641,"score_spread":0.1668549961070315,"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."}}