{"id":"W2070017158","doi":"10.1021/nl1002526","title":"Hydrazone Ligation Strategy to Assemble Multifunctional Viral Nanoparticles for Cell Imaging and Tumor Targeting","year":2010,"lang":"en","type":"article","venue":"Nano Letters","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Nanoparticle; Hydrazone; In vivo; Nanotechnology; Chemistry; Cowpea mosaic virus; Ligation; Biophysics; Combinatorial chemistry; Materials science; Molecular biology; Biochemistry; Biology; Stereochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001007017,0.0000854468,0.0000625966,0.00002216752,0.0001839048,0.00008344588,0.00006017151,0.00001782429,0.000269793],"category_scores_gemma":[0.00001700729,0.00008364624,0.00003045043,0.00005178473,0.00004399752,0.0003082606,0.00004836099,0.0000749972,0.0001155665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003414607,"about_ca_system_score_gemma":0.000003796656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002447523,"about_ca_topic_score_gemma":0.00009175376,"domain_scores_codex":[0.9993818,0.000009248437,0.0001267667,0.0002156236,0.00006619741,0.0002002987],"domain_scores_gemma":[0.9997698,0.00003294028,0.00004506089,0.00007255625,0.000006969455,0.00007264205],"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":[0.00001334789,0.00002707779,0.001412348,0.000003627152,0.00000163324,0.000001141259,0.00007741124,0.0001900713,0.9909903,0.000007385067,0.004749626,0.002526051],"study_design_scores_gemma":[0.0002785124,0.0000389834,0.02309728,0.000004850649,0.000008624897,0.000009316153,0.00005722359,0.0007769441,0.9609083,0.00001791717,0.01466505,0.0001370191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963881,0.000004395181,0.0009339136,0.001925165,0.0003578065,0.0001914194,0.000009662988,0.00002722994,0.0001622757],"genre_scores_gemma":[0.9908918,3.774062e-7,0.00670516,0.00209102,0.0001045992,0.00003024455,0.000009746446,0.00001197054,0.000155107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.030082,"threshold_uncertainty_score":0.3410995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004895547107072242,"score_gpt":0.2181048617217052,"score_spread":0.213209314614633,"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."}}