{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004137639,0.0004957122,0.0002456527,0.000196449,0.0002083864,0.000215828,0.000250356,0.0004080126,0.0006945503],"category_scores_gemma":[0.000211009,0.0003138174,0.0002731086,0.0001476515,0.0002541794,0.0002276564,0.0003188544,0.0005720594,0.0003795332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457233,"about_ca_system_score_gemma":0.0002896788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005447673,"about_ca_topic_score_gemma":0.001061463,"domain_scores_codex":[0.9997755,0.00005887945,0.00001818501,0.00004941973,0.00005063185,0.0000473413],"domain_scores_gemma":[0.9999086,0.0000206869,0.00002830589,0.00001500845,0.00001403979,0.00001345572],"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":[0.00003868996,0.00003266685,0.00005463348,0.00004206802,0.000009412191,0.00006289913,0.00004722542,0.0003690417,0.9958988,0.0005663673,0.00007841567,0.002799802],"study_design_scores_gemma":[0.00001278616,0.0001409919,0.0001695671,0.000001842778,0.000006754773,0.0001030882,0.000008282991,0.001204282,0.9961099,0.00006672491,0.002169789,0.000005966396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883934,0.001955287,0.1086144,0.0005667963,0.0001000935,0.0002947742,0.0001478135,0.0003912833,0.003995487],"genre_scores_gemma":[0.9493585,0.0008565993,0.04514125,0.000120164,0.00002174731,0.0001473596,0.0001495172,0.00004412291,0.004160687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006945503,"threshold_uncertainty_score":0.003233969,"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."}}