{"id":"W2494452092","doi":"10.1142/9781860949074_0018","title":"Magnetic Nanoparticles as Drug Carriers","year":2006,"lang":"en","type":"book-chapter","venue":"PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO. eBooks","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Drug; Nanoparticle; Drug carrier; Magnetic nanoparticles; Materials science; Nanotechnology; Drug delivery; Medicine; Pharmacology","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":[0.0002875915,0.0008063129,0.0007289189,0.0007915783,0.0003305634,0.001666566,0.0005413528,0.0009493103,0.01522811],"category_scores_gemma":[0.0002195331,0.0004053183,0.0003102962,0.0005726222,0.0006381226,0.001679724,0.0007265073,0.001347113,0.02093489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698659,"about_ca_system_score_gemma":0.0005473366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007644519,"about_ca_topic_score_gemma":0.00125289,"domain_scores_codex":[0.9998147,0.00001765589,0.000008716765,0.00005032967,0.00008690425,0.00002173396],"domain_scores_gemma":[0.9999325,0.00001414839,0.000008986046,0.000008461081,0.00002281549,0.000013135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001987042,0.0000928162,0.0001021862,0.002153043,0.0000462409,0.0003054218,0.0002690298,0.0007270926,0.169278,0.03641209,0.123874,0.6665414],"study_design_scores_gemma":[0.00001674902,0.00007440706,0.0001438999,0.0001211377,0.0000162487,0.0003153474,0.00002337583,0.000503955,0.04075373,0.003441061,0.9545788,0.00001131274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009972089,0.5488253,0.02889375,0.005037874,0.005696667,0.0001829073,0.0005949585,0.001507838,0.3992886],"genre_scores_gemma":[0.04430477,0.1676847,0.01250846,0.001526501,0.0005664668,0.0001408308,0.0006448108,0.0002411981,0.7723823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01522811,"threshold_uncertainty_score":0.05094302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006752980859781132,"score_gpt":0.1939025922947306,"score_spread":0.1871496114349495,"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."}}