{"id":"W4406899153","doi":"10.1021/acsomega.4c09823","title":"Biodistribution of <sup>89</sup>Zr-Radiolabeled Nanoassemblies for Monoclonal Antibody Delivery Revealed through <i>In Vivo</i> PET Imaging","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Centre For Medical Engineering, King’s College London; Medical Research Council; Xunta de Galicia; Engineering and Physical Sciences Research Council; Ministerio de Ciencia, Innovación y Universidades; Wellcome Trust","keywords":"Biodistribution; Monoclonal antibody; In vivo; Pet imaging; Chemistry; Radiochemistry; Antibody; Nuclear medicine; Medicine; Positron emission tomography; Immunology; Biology","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":[0.0001854065,0.000166187,0.0003632106,0.0000722416,0.00009821955,0.00001679063,0.0001459094,0.00006623838,0.00001511252],"category_scores_gemma":[0.0001566865,0.0001622445,0.0001213228,0.0005226848,0.0001226726,0.0001348887,0.00004082675,0.0001716463,0.000004191279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055602,"about_ca_system_score_gemma":0.000128343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002570613,"about_ca_topic_score_gemma":8.190249e-7,"domain_scores_codex":[0.9987889,0.00002235253,0.0004247982,0.0003182167,0.0001491915,0.0002965344],"domain_scores_gemma":[0.9991628,0.000226459,0.00008745794,0.0002943184,0.0001606872,0.00006827636],"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":[0.0003443013,0.0003369466,0.02178053,0.0005660974,0.00008457676,0.00001623532,0.00006489787,0.00004728251,0.9637886,0.003153238,0.009225617,0.000591636],"study_design_scores_gemma":[0.004487972,0.00005710936,0.002867213,0.0003948349,0.000274035,0.00006133191,0.0002363747,0.006242511,0.933889,0.001596871,0.04965491,0.0002378675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897871,0.001150765,0.002266647,0.003536185,0.00004200717,0.0005995306,0.0003049146,0.00005427845,0.002258551],"genre_scores_gemma":[0.9962099,0.0003275177,0.001673657,0.0005806182,0.00007791394,0.000116371,0.0003545377,0.00001148471,0.0006480037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04042929,"threshold_uncertainty_score":0.6616141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840126305126634,"score_gpt":0.3406107675556664,"score_spread":0.3222095045044001,"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."}}