{"id":"W2088014532","doi":"10.1016/j.nano.2011.08.017","title":"Iron oxide nanoparticles for targeted cancer imaging and diagnostics","year":2011,"lang":"en","type":"review","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":322,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Magnetic resonance imaging; Nanotechnology; Iron oxide nanoparticles; In vivo; Nanoparticle; Materials science; Iron oxide; Cancer; Superparamagnetism; Biomedical engineering; Medicine; Radiology; Biology; Internal medicine","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":[0.0004416291,0.0009834189,0.0008879704,0.001420809,0.0002365378,0.0004863107,0.0006604128,0.001117962,0.001890123],"category_scores_gemma":[0.0003209044,0.0003077941,0.0002799162,0.0008491594,0.0004399425,0.0009738476,0.0005768794,0.001089163,0.001318968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005367865,"about_ca_system_score_gemma":0.0006988728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008822624,"about_ca_topic_score_gemma":0.001822667,"domain_scores_codex":[0.9998891,0.00001356515,0.000009338776,0.00002174509,0.00005181961,0.0000143845],"domain_scores_gemma":[0.9999062,0.00003573761,0.00001614033,0.000004072978,0.00002970394,0.000008244623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009141205,0.0001376167,0.00007629857,0.007307108,0.00005328633,0.0003770422,0.00005448057,0.0005256033,0.03203272,0.007391599,0.03170488,0.920248],"study_design_scores_gemma":[0.00002453846,0.0001206926,0.0002642068,0.0009686775,0.00006558114,0.001410338,0.00002559307,0.0003488535,0.01264766,0.00207681,0.9820282,0.00001875104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006068511,0.9917407,0.00207549,0.0004146968,0.000773422,0.0000182037,0.00002079134,0.00002135998,0.004328582],"genre_scores_gemma":[0.004721615,0.9833511,0.002238387,0.0004881689,0.0005856626,0.00003175336,0.00004955636,0.000007484888,0.008526343],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001890123,"threshold_uncertainty_score":0.006323099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758743778354001,"score_gpt":0.3221722216692241,"score_spread":0.2945847838856841,"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."}}