{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008467639,0.0001068007,0.0001371621,0.0002446901,0.0006445557,0.0001704974,0.000187658,0.00003933522,0.00002263136],"category_scores_gemma":[0.0002163678,0.00009476495,0.00006639818,0.0006646887,0.0003930274,0.0008285842,0.000007675128,0.0001098032,0.00002442228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496395,"about_ca_system_score_gemma":0.0002194142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001448549,"about_ca_topic_score_gemma":0.00002906516,"domain_scores_codex":[0.9986343,0.0000260611,0.0001988433,0.0003742594,0.0003259101,0.0004406172],"domain_scores_gemma":[0.9993503,0.0001916277,0.00005378016,0.0001465341,0.0001283013,0.0001294204],"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":[0.0008940347,0.00005977236,0.001035495,0.0006138216,0.000007820687,0.000007135374,0.001231633,0.001149389,0.8366296,0.008849564,0.006955152,0.1425666],"study_design_scores_gemma":[0.002464187,0.001162505,0.001259026,0.0005379175,0.00003959719,0.00001076155,0.0006380894,0.1565983,0.04935463,0.005535933,0.7819088,0.0004903169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4848231,0.03912171,0.3155213,0.1036428,0.03707162,0.005191444,0.0006032382,0.002790891,0.01123393],"genre_scores_gemma":[0.9927875,0.00002173604,0.004734608,0.001933087,0.0003252031,0.00006412929,0.00001485827,0.00001278629,0.0001061103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.787275,"threshold_uncertainty_score":0.4957466,"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."}}