{"id":"W1585367813","doi":"10.1002/9781118873151.ch14","title":"The Application of Plant Viral Nanoparticles in Tissue‐Specific Imaging","year":2014,"lang":"en","type":"other","venue":"","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Prostate Cancer Canada","keywords":"Positron emission tomography; Preclinical imaging; Molecular imaging; Nanoparticle; Nanotechnology; Pet imaging; Biomedical engineering; Cowpea mosaic virus; Optical imaging; In vivo; Medicine; Materials science; Nuclear medicine; Biology; Plant virus; Virus; Biotechnology; Virology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003044954,0.0002862536,0.0001548262,0.0003690641,0.0002176955,0.0003928553,0.0002092662,0.0005306496,0.0007533158],"category_scores_gemma":[0.0001338332,0.0001379051,0.0002572913,0.0002298056,0.0003477885,0.0002991562,0.0003131313,0.0004958998,0.0003228127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005184356,"about_ca_system_score_gemma":0.0001861501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037686,"about_ca_topic_score_gemma":0.001253038,"domain_scores_codex":[0.9998933,0.00002433434,0.000004099284,0.0000298424,0.0000329787,0.00001545857],"domain_scores_gemma":[0.999946,0.00001663245,0.000009541963,0.000008585314,0.00001175713,0.000007473519],"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":[0.00002862193,0.00002448535,0.00008550368,0.0001430534,0.000005525881,0.0000987719,0.00003755944,0.0002705918,0.9754441,0.002044605,0.0002370289,0.02157999],"study_design_scores_gemma":[0.000009308474,0.0002480656,0.0007768059,0.00003073292,0.00002064065,0.0006975396,0.00002915406,0.00227709,0.9533215,0.0006317712,0.04194703,0.00001046806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5035473,0.1360501,0.2835913,0.00239152,0.0006194579,0.0003315305,0.0003898293,0.0008818363,0.07219702],"genre_scores_gemma":[0.8797878,0.03331343,0.07061683,0.0004900247,0.00007630145,0.0001194305,0.0002674072,0.00005817643,0.01527048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037686,"threshold_uncertainty_score":0.00376159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121503676691715,"score_gpt":0.3286317904804333,"score_spread":0.3074167537135162,"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."}}