{"id":"W1944413910","doi":"10.1002/anie.201505525","title":"Heat‐Induced Radiolabeling of Nanoparticles for Monocyte Tracking by PET","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Cancer Institute; National Heart, Lung, and Blood Institute; U.S. Public Health Service","keywords":"Monocyte; In vitro; Spleen; Chemistry; Positron emission tomography; Immune system; Flow cytometry; Pet imaging; Lymph; Nanoparticle; Biophysics; Radiochemistry; Pharmacology; Molecular biology; Biochemistry; Materials science; Nuclear medicine; Immunology; Pathology; Nanotechnology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002744591,0.0002299507,0.0002065345,0.0001346434,0.000149074,0.0002125239,0.0001774106,0.0003904897,0.001206828],"category_scores_gemma":[0.0002163032,0.0001767762,0.0001571771,0.0001523404,0.000157874,0.0001389705,0.0001402201,0.0003348307,0.0005127413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004387,"about_ca_system_score_gemma":0.0002537867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013805,"about_ca_topic_score_gemma":0.002166488,"domain_scores_codex":[0.9998772,0.00002799643,0.000005494825,0.00002745933,0.00002390782,0.00003792941],"domain_scores_gemma":[0.9999276,0.00002935794,0.000009353084,0.00001143703,0.00001516872,0.000007075298],"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":[0.00006886951,0.000006543941,0.00005641615,0.00002811814,0.000001601716,0.00003392805,0.00001553478,0.0001080001,0.9976766,0.0001627238,0.00007794485,0.001763891],"study_design_scores_gemma":[0.000008927174,0.00010403,0.0005436039,0.000003526568,0.000004439218,0.00009792245,0.000008968407,0.001086294,0.9960482,0.00003333283,0.002056896,0.000003961946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999153,0.003122922,0.08932824,0.0002517423,0.00009544193,0.0002505418,0.0006303933,0.0003948186,0.006010585],"genre_scores_gemma":[0.95074,0.001566784,0.04099292,0.0001087826,0.00002030041,0.0002562375,0.0004962965,0.00005675551,0.005761977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013805,"threshold_uncertainty_score":0.004037201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04226651930766898,"score_gpt":0.2869637013635675,"score_spread":0.2446971820558985,"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."}}