{"id":"W4405360862","doi":"10.1126/sciadv.adq9909","title":"Smart control lipid-based nanocarriers for fine-tuning gut hormone secretion","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Wallonie-Bruxelles International; Department of Science and Technology of Sichuan Province; Université Catholique de Louvain; European Commission; Wellcome Trust; Medical Research Council; Novo Nordisk","keywords":"Nanocarriers; Enteroendocrine cell; Endogeny; Hormone; Knockout mouse; Receptor; Secretion; Cell biology; Endocrine system; Chemistry; Gastrointestinal hormone; Biology; Endocrinology; Peptide hormone; Pharmacology; Biochemistry","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":[0.0001743308,0.0002531774,0.0001824642,0.0001555202,0.0001005373,0.0002662199,0.0001558081,0.0002758022,0.0006526998],"category_scores_gemma":[0.000222187,0.0001001612,0.0001759116,0.00009796311,0.0002234581,0.0003124365,0.000258813,0.0003179201,0.0002221898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917745,"about_ca_system_score_gemma":0.000165017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146644,"about_ca_topic_score_gemma":0.000870321,"domain_scores_codex":[0.9999017,0.00001208238,0.000008405175,0.00003105771,0.0000315236,0.00001523293],"domain_scores_gemma":[0.9999318,0.00001879765,0.00002481059,0.000006052281,0.00001170445,0.00000685676],"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":[0.00003967164,0.00001025531,0.00004102314,0.00005162673,0.000003127021,0.00002543141,0.00001269638,0.0001967983,0.9962472,0.0002521591,0.00005963324,0.003060388],"study_design_scores_gemma":[0.0000142951,0.0001223913,0.0002111214,0.000006672255,0.000009822968,0.00004635197,0.00001248381,0.002161219,0.9929793,0.00006802163,0.004361741,0.000006486935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020044,0.008307049,0.0817375,0.0005241789,0.0002440435,0.000236295,0.0003287819,0.0004469963,0.006170812],"genre_scores_gemma":[0.9469561,0.004131765,0.04477886,0.0002540104,0.00003422592,0.0001832505,0.0001187832,0.00006504604,0.003477902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006526998,"threshold_uncertainty_score":0.002183497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486214452319414,"score_gpt":0.3208975685164384,"score_spread":0.3060354239932443,"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."}}