{"id":"W6887744679","doi":"10.17863/cam.114417","title":"Smart control lipid-based nanocarriers for fine-tuning gut hormone secretion.","year":2024,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Catholique de Louvain; Canadian Institutes of Health Research; Wallonie-Bruxelles International; Medical Research Council; Fundamental Research Funds for the Central Universities; Novo Nordisk; Wellcome Trust; Department of Science and Technology of Sichuan Province; Banting and Best Diabetes Centre, University of Toronto; Fonds De La Recherche Scientifique - FNRS; European Commission; National Natural Science Foundation of China","keywords":"Enteroendocrine cell; Nanocarriers; Hormone; Endogeny; Gastrointestinal hormone; Knockout mouse; Endocrine system; Glucagon-like peptide-1","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002021846,0.0002882325,0.0001548828,0.0001749936,0.000134077,0.0003177674,0.000195134,0.0003929926,0.00110792],"category_scores_gemma":[0.000217153,0.0001346333,0.0001753868,0.0001074444,0.0002930382,0.0003804078,0.0003187377,0.0004185073,0.0005028692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004189308,"about_ca_system_score_gemma":0.0001528317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343209,"about_ca_topic_score_gemma":0.00102878,"domain_scores_codex":[0.9999015,0.00001246454,0.000006006947,0.00003093447,0.00003458521,0.00001452687],"domain_scores_gemma":[0.9999205,0.00002316265,0.00002882205,0.000008157185,0.00001043986,0.000008892961],"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":[0.0000291022,0.000009057624,0.00003541043,0.00007174322,0.000004359843,0.00002699752,0.00001664715,0.0001365579,0.9945129,0.0004890171,0.0001835583,0.004484741],"study_design_scores_gemma":[0.00002181711,0.0000983098,0.000295785,0.00001052345,0.00001102531,0.0001023576,0.00001427187,0.002227864,0.9834554,0.0001562018,0.01359618,0.0000103673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722592,0.02168004,0.1807132,0.00185136,0.0006983379,0.0004457763,0.0008453565,0.001389391,0.02011747],"genre_scores_gemma":[0.8976424,0.007480951,0.08217164,0.0007295963,0.00005962087,0.0002978924,0.0002665291,0.0001494041,0.011202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00110792,"threshold_uncertainty_score":0.003706396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006515397190611997,"score_gpt":0.2086214389123764,"score_spread":0.2021060417217644,"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."}}