{"id":"W2101206279","doi":"10.1007/s00216-010-4207-5","title":"Nanoparticles as contrast agents for in-vivo bioimaging: current status and future perspectives","year":2010,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":485,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Nanotechnology; In vivo; Positron emission tomography; Molecular imaging; Preclinical imaging; Photoacoustic imaging in biomedicine; Nanoparticle; Magnetic resonance imaging; Materials science; Nanomedicine; Biomedical engineering; Computer science; Medical physics; Medicine; Nuclear medicine; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001165923,0.0005498975,0.001254403,0.00009215283,0.00005465978,0.0001268142,0.0001648925,0.0004567983,0.0001458794],"category_scores_gemma":[0.0001040525,0.0004252373,0.000286272,0.000283583,0.0003665608,0.00008108758,0.00007093547,0.0007826028,0.000006217202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346801,"about_ca_system_score_gemma":0.0001049958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004606449,"about_ca_topic_score_gemma":0.000004847069,"domain_scores_codex":[0.9980189,0.000008271707,0.0005611646,0.0005499972,0.0002006431,0.000661055],"domain_scores_gemma":[0.9989281,0.0002286628,0.00006198376,0.0002498461,0.00005623576,0.000475138],"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":[0.00003307067,0.0001534039,0.00008332458,0.01923044,0.00049682,0.00002868767,0.00008477942,5.079567e-7,0.000625362,0.002500243,0.0002996489,0.9764637],"study_design_scores_gemma":[0.0005052686,0.0000247753,0.000006321506,0.0009927771,0.00104901,0.00002724095,0.000123339,0.001698039,0.000412306,0.0005006111,0.9940836,0.0005766781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001233046,0.9970496,0.0000268595,0.00007095205,0.0001524144,0.0003372641,0.0002377215,0.00007471577,0.0008173747],"genre_scores_gemma":[0.00233348,0.9966649,0.00007238803,0.00001233828,0.0005975083,0.000039472,0.00003682436,0.00006394622,0.0001790986],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993784,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209455295766685,"score_gpt":0.3016105461847862,"score_spread":0.2806650166081177,"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."}}