{"id":"W2901100106","doi":"10.2147/ijn.s179806","title":"A <sup>89</sup>Zr-labeled lipoplex nanosystem for image-guided gene delivery: design, evaluation of stability and in vivo behavior","year":2018,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"SLAC National Accelerator Laboratory; National Institute of General Medical Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Office of Science; National Institutes of Health; U.S. Department of Energy","keywords":"Biodistribution; In vivo; Gene delivery; Ex vivo; Conjugate; Chemistry; Pharmacokinetics; Genetic enhancement; Pharmacology; Materials science; Biophysics; Medicine; In vitro; Biochemistry; Gene; Biology","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":[0.0002924535,0.0003862994,0.0001599475,0.0001763242,0.00009192627,0.0001925491,0.0002076289,0.0002552005,0.000684683],"category_scores_gemma":[0.0001344271,0.0001160704,0.0001385076,0.0001141468,0.0002899109,0.0002295673,0.0001274586,0.0002862509,0.0004393462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035979,"about_ca_system_score_gemma":0.0002451646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336389,"about_ca_topic_score_gemma":0.0002780172,"domain_scores_codex":[0.9999136,0.00001425017,0.000008539781,0.00002394895,0.00002998819,0.000009615077],"domain_scores_gemma":[0.9999045,0.00001630227,0.00003806961,0.000008699336,0.00001698595,0.00001544118],"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":[0.00002476132,0.000005716118,0.00003626346,0.00002700477,0.000001611294,0.00001469195,0.000005160645,0.00007409403,0.9987469,0.00009029388,0.00001376116,0.0009596635],"study_design_scores_gemma":[0.000009835272,0.0001264163,0.0002092501,0.000002682843,0.000005482617,0.00007352315,0.00000298594,0.000638762,0.9976509,0.00002197372,0.001255475,0.000002660947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418845,0.003227214,0.05228417,0.0001564884,0.00002983679,0.00018041,0.0002070179,0.0002130988,0.001817125],"genre_scores_gemma":[0.9590658,0.001683412,0.03507451,0.00005472612,0.00001619933,0.0001248894,0.0002904062,0.00004429498,0.003645767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000684683,"threshold_uncertainty_score":0.002610445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06799076660934583,"score_gpt":0.344909911418723,"score_spread":0.2769191448093772,"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."}}