{"id":"W1976949057","doi":"10.1016/j.cis.2013.06.007","title":"Superparamagnetic iron oxide based nanoprobes for imaging and theranostics","year":2013,"lang":"en","type":"review","venue":"Advances in Colloid and Interface Science","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Polytechnique Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Nanotechnology; Biocompatibility; Superparamagnetism; Magnetic resonance imaging; Contrast enhancement; Magnetic nanoparticles; Materials science; Biocompatible material; Nanoparticle; Surface modification; Biomedical engineering; Chemistry; Medicine; Magnetic field; Magnetization; Radiology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139291,0.0001883362,0.000329262,0.0001403511,0.00008420726,0.0001555185,0.000230317,0.00003606407,0.0000127818],"category_scores_gemma":[0.00006353511,0.0001595977,0.00002420989,0.0003166114,0.0003485438,0.0003560005,0.00004658234,0.00008145837,0.00000418238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003670856,"about_ca_system_score_gemma":0.0000435715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001865422,"about_ca_topic_score_gemma":0.000003792927,"domain_scores_codex":[0.9991222,0.000009980219,0.0002690806,0.0002892233,0.00008814577,0.0002213972],"domain_scores_gemma":[0.9995207,0.0001708009,0.00004378755,0.000163487,0.00003663455,0.00006455053],"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":[0.000001084664,0.00001131824,0.00001266284,0.002432739,9.921265e-7,7.650574e-8,0.00003339164,0.0003310503,0.01195675,0.0001994341,0.00002176459,0.9849988],"study_design_scores_gemma":[0.0001987053,0.00003593297,0.00001183862,0.001875878,0.00002629493,0.00000532398,0.00005008965,0.03553112,0.002739971,0.0001306724,0.9591001,0.000294081],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002773641,0.9932407,0.00283397,0.00002784083,0.0001259252,0.0007659718,0.00001760832,0.00004633661,0.0001680427],"genre_scores_gemma":[0.01885472,0.9758336,0.004922234,0.00002031938,0.00001228869,0.0002659145,0.000003162544,0.00001926868,0.00006850035],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9847047,"threshold_uncertainty_score":0.6508203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097754977665514,"score_gpt":0.2946802497768871,"score_spread":0.283702700000232,"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."}}