{"id":"W2071705233","doi":"10.1016/j.biomaterials.2011.10.068","title":"An activatable multimodal/multifunctional nanoprobe for direct imaging of intracellular drug delivery","year":2011,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; National Science Foundation","keywords":"Nanoprobe; Materials science; Drug delivery; Intracellular; Nanotechnology; Folate receptor; Nanoparticle; Förster resonance energy transfer; Targeted drug delivery; Biophysics; Fluorescence-lifetime imaging microscopy; Iron oxide nanoparticles; Cancer cell; Fluorescence; Cancer; Chemistry; Biochemistry; Medicine; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001259343,0.0002600845,0.0004303333,0.0001407206,0.0001670491,0.00008305228,0.0003971261,0.00007359985,0.001375956],"category_scores_gemma":[0.00009576922,0.0002377248,0.0001023161,0.0001337445,0.0001872121,0.0006408813,0.00009244346,0.00001144512,0.0001398364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007235727,"about_ca_system_score_gemma":0.0001178827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223269,"about_ca_topic_score_gemma":0.00001429031,"domain_scores_codex":[0.9977747,0.0001987261,0.000644158,0.0005500076,0.0002802235,0.0005522209],"domain_scores_gemma":[0.998537,0.0001367501,0.0003431275,0.0005529943,0.0002698148,0.000160313],"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":[0.0007284285,0.0004281302,0.0008434887,0.00009347742,0.00001777659,0.000006706283,0.0004161032,0.00002718822,0.9964864,0.0001007842,0.0003430699,0.0005084153],"study_design_scores_gemma":[0.0009156619,0.00009826255,0.0008362142,0.0000477928,0.00004739616,0.000005324065,0.0001315169,0.001186189,0.9959288,0.0002288356,0.0002788687,0.0002951587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960716,0.0001396079,0.0007449931,0.00002396875,0.001582143,0.0006266004,0.0004802348,0.000231478,0.000099397],"genre_scores_gemma":[0.9746037,0.000003949627,0.02485632,0.00004949615,0.0001879937,0.0001376511,0.00005324586,0.00005073691,0.00005694774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02411133,"threshold_uncertainty_score":0.9995369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136443369773447,"score_gpt":0.2392828344336642,"score_spread":0.2179184007359297,"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."}}