{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009990764,0.0001116303,0.00009041528,0.0001089374,0.00005862426,0.00004688097,0.00008963808,0.00005718425,0.00002536113],"category_scores_gemma":[0.0000971314,0.0001094918,0.00003634342,0.0001177001,0.00005816403,0.00003560708,0.00005393917,0.00009377371,0.000001109545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004858557,"about_ca_system_score_gemma":0.00006257954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002058859,"about_ca_topic_score_gemma":0.0001002372,"domain_scores_codex":[0.9991651,0.00001775461,0.0001635116,0.0002277326,0.0002887633,0.0001371723],"domain_scores_gemma":[0.9991624,0.00001010112,0.0001139723,0.0001156988,0.0005069429,0.00009090354],"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":[0.0001175544,0.00008347367,0.00125608,0.0000224778,0.00005952168,0.000004824831,0.0001361732,0.0003910501,0.9974812,0.0002221248,0.0001221495,0.0001033677],"study_design_scores_gemma":[0.0008926503,0.0002069897,0.0004066574,0.00003141341,0.00001771795,0.00003423299,0.0003915617,0.000575183,0.9959402,0.0002555989,0.001130539,0.000117273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976067,0.00008203058,0.01459364,0.0000894758,0.0002040164,0.0002121991,0.00001993539,0.00001663419,0.008715093],"genre_scores_gemma":[0.9970909,0.00000858585,0.001551347,0.00001626527,0.0003139967,0.00002809471,0.0005074302,0.00001899564,0.0004643561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02102395,"threshold_uncertainty_score":0.4464946,"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."}}