{"id":"W2077808374","doi":"10.1088/0957-4484/22/19/195102","title":"Small unilamellar vesicles: a platform technology for molecular imaging of brain tumors","year":2011,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; National Research Council Institute for Biodiagnostics; National Research Council Canada; Institute for Biological Sciences","funders":"","keywords":"Molecular imaging; Gadolinium; Materials science; Magnetic resonance imaging; In vivo; Nuclear magnetic resonance; Dynamic light scattering; MRI contrast agent; Biophysics; Biomedical engineering; Nanotechnology; Nanoparticle; Radiology; 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":[0.0002981744,0.0002888859,0.0002434363,0.0003062723,0.0002116788,0.000480865,0.000270106,0.0004867683,0.0004072375],"category_scores_gemma":[0.0002230301,0.0001558655,0.0002392517,0.0001244607,0.0002439938,0.0005387287,0.000352116,0.0004373373,0.0003405013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422985,"about_ca_system_score_gemma":0.000304384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003686798,"about_ca_topic_score_gemma":0.0004118071,"domain_scores_codex":[0.9998864,0.00002524846,0.000007628691,0.00002226102,0.00003995056,0.00001846975],"domain_scores_gemma":[0.9999418,0.00001261173,0.00001636517,0.000007740591,0.00001150984,0.000009890457],"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":[0.00003250763,0.00001179261,0.00006318462,0.00008226732,0.000008041907,0.00006449839,0.00002048182,0.0002829935,0.9884045,0.001202623,0.00009560512,0.009731594],"study_design_scores_gemma":[0.00001493749,0.0002193917,0.0002554138,0.0000101566,0.00002143172,0.0003189131,0.00001771841,0.002496439,0.9852483,0.0004562189,0.01093166,0.000009460262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7114103,0.03247135,0.2469037,0.001295189,0.0003395259,0.0003918728,0.0004428388,0.00100471,0.005740439],"genre_scores_gemma":[0.927573,0.01097178,0.05677601,0.0001602175,0.00004886782,0.0001586685,0.0003100496,0.00005713771,0.00394418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004867683,"threshold_uncertainty_score":0.002483547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650914809656777,"score_gpt":0.2027431774979365,"score_spread":0.1862340294013688,"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."}}