{"id":"W4415632984","doi":"10.1021/acs.biomac.5c01692","title":"Engineering Hetero-Layered Mannodendrimers to Enhance Macrophage Receptor Binding","year":2025,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Glycomics Network; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Endocytosis; Dendrimer; Macrophage; Mannose receptor; Mannose; Liposome; Receptor; Cell; Ligand (biochemistry)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009592288,0.0003078103,0.0001193942,0.0001327007,0.00006710382,0.0002240826,0.0001404115,0.0002260114,0.0004812596],"category_scores_gemma":[0.00009740653,0.00009986555,0.0001308098,0.0001119288,0.0001023309,0.000173413,0.0001638784,0.0002162301,0.0002933849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891667,"about_ca_system_score_gemma":0.0001353404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003026818,"about_ca_topic_score_gemma":0.0007603079,"domain_scores_codex":[0.9999409,0.00000880368,0.000004794408,0.00001226911,0.00001384146,0.00001940715],"domain_scores_gemma":[0.9999396,0.000009399094,0.00002359937,0.000006205594,0.000008517002,0.00001274273],"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":[0.00001946376,0.00001124445,0.0000400846,0.0000140923,0.000002937389,0.00002032261,0.000005721413,0.0001602709,0.9989136,0.00007066704,0.0000173005,0.0007242449],"study_design_scores_gemma":[0.000004205211,0.0001036327,0.0004367422,0.000001486805,0.000006614476,0.00004618453,0.000004587708,0.0008430514,0.9978371,0.00001054714,0.0007032265,0.00000264594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993023,0.0004675485,0.004732403,0.00003402732,0.0000130147,0.00003781175,0.00009566908,0.0001015851,0.001494869],"genre_scores_gemma":[0.9928848,0.0003648662,0.004826218,0.00002994744,0.000005028766,0.00002358722,0.00007900671,0.00001871835,0.001767782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004812596,"threshold_uncertainty_score":0.002098083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005087162646487764,"score_gpt":0.2622625334713734,"score_spread":0.2571753708248856,"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."}}