{"id":"W4253233910","doi":"10.1002/ange.201505525","title":"Heat‐Induced Radiolabeling of Nanoparticles for Monocyte Tracking by PET","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Monocyte; In vitro; Spleen; Positron emission tomography; Pet imaging; Immune system; Nanoparticle; Flow cytometry; Biophysics; Radiochemistry; Lymph; Biochemistry; Molecular biology; Nanotechnology; Materials science; Nuclear medicine; Pathology; Immunology; 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":[0.0002663504,0.0001873062,0.0001534168,0.0001174216,0.0001299429,0.0002050916,0.0001506971,0.0003017204,0.001132373],"category_scores_gemma":[0.0002018958,0.0001331417,0.0001167838,0.000120766,0.0001457334,0.0001205527,0.0001161115,0.0002873651,0.0004436004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656816,"about_ca_system_score_gemma":0.0002181041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401927,"about_ca_topic_score_gemma":0.001824318,"domain_scores_codex":[0.9998965,0.00003185114,0.000004352768,0.00001948273,0.00001830069,0.00002941235],"domain_scores_gemma":[0.999931,0.00002830301,0.000009155334,0.00001050054,0.00001352551,0.000007569466],"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":[0.00007408401,0.000007618734,0.00006963732,0.0000289471,0.000001554322,0.00003388218,0.00001403616,0.000118182,0.9979635,0.0001749452,0.00007748006,0.001436037],"study_design_scores_gemma":[0.0000086504,0.00009389826,0.000483564,0.000003251122,0.000004015573,0.00008482936,0.000008394031,0.001205667,0.9962891,0.00002798654,0.001787278,0.00000332822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243494,0.002603057,0.06714664,0.0002445688,0.00007372703,0.0001759569,0.0004808395,0.0002933964,0.004632591],"genre_scores_gemma":[0.9691783,0.0008790822,0.02583691,0.00007220056,0.00001387628,0.0001224988,0.0002758037,0.00003496272,0.003586327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401927,"threshold_uncertainty_score":0.003788173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05092603583650252,"score_gpt":0.2773132803207637,"score_spread":0.2263872444842612,"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."}}