{"id":"W4210610045","doi":"10.1002/ange.201814665","title":"Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Dental and Craniofacial Research; National Institute of Environmental Health Sciences; Research Opportunities Initiative, University of North Carolina; David and Lucile Packard Foundation; Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; National Institutes of Health; National Science Foundation","keywords":"Pretargeting; Mucus; Chemistry; Drug delivery; PEGylation; Biophysics; Drug carrier; Conjugate; Nanotechnology; Polyethylene glycol; Antibody; Monoclonal antibody; Materials science; Immunology; Biochemistry; Radioimmunotherapy; Biology; Organic chemistry","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":[0.0001932952,0.0004338107,0.0001662913,0.0002132447,0.00009760458,0.000253708,0.0002599519,0.0004263147,0.0006223984],"category_scores_gemma":[0.0001435454,0.0002075911,0.0002247384,0.0001089495,0.0001417225,0.0002101759,0.0002577465,0.0004368132,0.000278963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267435,"about_ca_system_score_gemma":0.0002251068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006678196,"about_ca_topic_score_gemma":0.001024349,"domain_scores_codex":[0.9998572,0.00002305835,0.00001065036,0.00002708654,0.00003277966,0.00004923273],"domain_scores_gemma":[0.9999218,0.00001395705,0.0000261398,0.000006329766,0.00001608774,0.00001573547],"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":[0.000009636175,0.00001212275,0.0000244485,0.00001420097,0.00000181691,0.00001117204,0.000004335597,0.000122636,0.9991199,0.00007468311,0.00001751328,0.0005874522],"study_design_scores_gemma":[0.000003584696,0.00005339631,0.0002350462,0.000001558213,0.000003218404,0.00002218868,0.000002780122,0.0009874391,0.997979,0.00001011338,0.0006997316,0.000001915919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677234,0.0009450775,0.02905834,0.0001112902,0.0000443455,0.00009550562,0.0001027418,0.0001440076,0.001775253],"genre_scores_gemma":[0.9797712,0.0006517865,0.0170899,0.000126572,0.000007967575,0.0000638921,0.0001137932,0.00003715608,0.002137737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006678196,"threshold_uncertainty_score":0.003096223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116895519511688,"score_gpt":0.3478092034063972,"score_spread":0.2966402482112803,"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."}}