{"id":"W1963681675","doi":"10.1016/j.bej.2008.07.009","title":"Synthesis, characterization and MRI application of dextran-coated Fe3O4 magnetic nanoparticles","year":2008,"lang":"en","type":"article","venue":"Biochemical Engineering Journal","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":297,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ferrofluid; Dextran; Materials science; Biodistribution; Magnetic nanoparticles; MRI contrast agent; Nanoparticle; Nuclear magnetic resonance; Biomedical engineering; Chemistry; Chromatography; Nanotechnology; Medicine; Magnetic field","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":[0.0003169837,0.000279477,0.0002368883,0.0003000117,0.0002372002,0.0002387016,0.0002248501,0.0003558014,0.0006829659],"category_scores_gemma":[0.0003770476,0.0002972749,0.0001784274,0.0001491222,0.000201209,0.000212797,0.0001185564,0.0002407535,0.0002857731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471974,"about_ca_system_score_gemma":0.0002376684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165994,"about_ca_topic_score_gemma":0.001503097,"domain_scores_codex":[0.9998591,0.00002148545,0.00001535494,0.0000369401,0.00004209256,0.00002500651],"domain_scores_gemma":[0.9997931,0.00005060508,0.00004009583,0.00002128467,0.00006496953,0.00003001047],"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":[0.00003827541,0.000008233872,0.00003633634,0.00001900168,0.000001550018,0.00001626952,0.000007077883,0.00004366427,0.9992529,0.0000355924,0.00001954395,0.0005215355],"study_design_scores_gemma":[0.000004419036,0.00004130404,0.0004735125,9.641935e-7,0.000004983764,0.0000535271,0.00000334205,0.0005673129,0.9983085,0.000009097641,0.0005303854,0.000002597336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781623,0.001469642,0.01704451,0.0002107556,0.0000497362,0.00006895711,0.0002745176,0.0001584939,0.002561004],"genre_scores_gemma":[0.9791369,0.0007422129,0.01443938,0.00008425663,0.00002160955,0.00003221801,0.0004875161,0.00005754412,0.004998336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001165994,"threshold_uncertainty_score":0.003244698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005137901918263753,"score_gpt":0.1719848360354778,"score_spread":0.166846934117214,"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."}}