{"id":"W2781982724","doi":"10.1039/c7nr09237g","title":"Se@SiO<sub>2</sub>–FA–CuS nanocomposites for targeted delivery of DOX and nano selenium in synergistic combination of chemo-photothermal therapy","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Shanghai University of Engineering and Science; Science and Technology Commission of Shanghai Municipality; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Photothermal therapy; Selenium; Drug delivery; Nanocomposite; Materials science; Nanotechnology; Nano-; Cancer therapy; Photothermal effect; Delivery system; Nanoparticle; Chemotherapy; Cancer; Pharmacology; Medicine; Metallurgy","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":[0.00009210467,0.0002883938,0.0001647021,0.0001411425,0.0001035944,0.0001495367,0.0001283362,0.0002825411,0.0007190423],"category_scores_gemma":[0.00008179334,0.0001915845,0.000163314,0.00007580747,0.0001814392,0.0002131869,0.0001468217,0.0001769988,0.0002226999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071123,"about_ca_system_score_gemma":0.0001438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004761347,"about_ca_topic_score_gemma":0.001498278,"domain_scores_codex":[0.9999421,0.000005874709,0.000004659623,0.00001621672,0.00001962153,0.00001153745],"domain_scores_gemma":[0.999966,0.000006360872,0.0000102063,0.00000282734,0.000007426676,0.000007109626],"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":[0.00002375116,0.000006100064,0.00003192811,0.00001744883,0.000001812646,0.00002079507,0.000005689231,0.0001103527,0.9991606,0.00005426231,0.0000187454,0.0005485861],"study_design_scores_gemma":[0.000004776353,0.0000672211,0.0003235731,0.000001157914,0.00000435666,0.00003836288,0.000005996142,0.001408358,0.997431,0.0000106262,0.0007018571,0.000002635497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870923,0.0007035875,0.009322371,0.0000720001,0.00003926748,0.00005235676,0.00008823732,0.000158117,0.002471735],"genre_scores_gemma":[0.9899019,0.0002749924,0.006808834,0.00003106954,0.000009490272,0.00003081001,0.0000559391,0.00001700776,0.002870047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007190423,"threshold_uncertainty_score":0.002405405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008300389319868394,"score_gpt":0.2107478402945203,"score_spread":0.2024474509746519,"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."}}