{"id":"W2119166960","doi":"10.1002/anie.201410882","title":"Dissecting Molecular Aspects of Cell Interactions Using Glycodendrimersomes with Programmable Glycan Presentation and Engineered Human Lectins","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Glycan; Galectin; Lectin; Cell; Computational biology; Chemistry; Biochemistry; Nanotechnology; Cell biology; Glycoprotein; Biology; Materials science","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":[0.0001144119,0.0001883352,0.0000868819,0.00006851206,0.00008550837,0.0002461275,0.0001253733,0.0002340111,0.0002803959],"category_scores_gemma":[0.00008890509,0.00007725042,0.0001091915,0.00008040251,0.0002039665,0.0001936405,0.0001216214,0.0003119129,0.00008134072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864234,"about_ca_system_score_gemma":0.0001184581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004115545,"about_ca_topic_score_gemma":0.000497024,"domain_scores_codex":[0.9999433,0.00001082576,0.000002896506,0.000009392875,0.00001515009,0.00001850829],"domain_scores_gemma":[0.999962,0.00001615267,0.000007783133,0.000003053429,0.000003763411,0.000007250569],"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":[0.00002001913,0.000003845487,0.00004209001,0.000006315636,8.906724e-7,0.00002355456,0.000006219779,0.00007980168,0.9994476,0.0001151089,0.000006488564,0.0002481096],"study_design_scores_gemma":[0.000004212629,0.00004016498,0.0006951154,0.000001277999,0.000003690253,0.00005284932,0.00001300254,0.001629454,0.9971133,0.00006226102,0.0003814723,0.000003197851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954885,0.0002784218,0.003387222,0.00004857266,0.000007278054,0.000008271605,0.0000428597,0.00002055335,0.0007184775],"genre_scores_gemma":[0.9953991,0.000440383,0.003475694,0.00003821746,0.000004591896,0.000013456,0.00005156374,0.000008011571,0.0005689486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004115545,"threshold_uncertainty_score":0.002078235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02636172184488129,"score_gpt":0.3144305376729427,"score_spread":0.2880688158280614,"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."}}