{"id":"W2319003142","doi":"10.1109/nano.2014.6967978","title":"Engineering large gelatin nanospheres coated with quantum dots for targeted delivery of human osteosarcoma with enhanced cellular internalization","year":2014,"lang":"en","type":"article","venue":"","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bioconjugation; Internalization; Gelatin; Fluorescence; Drug delivery; Quantum dot; Chemistry; Nanotechnology; Biophysics; Targeted drug delivery; Antibody; Osteosarcoma; Materials science; Cell; Cancer research; Biochemistry; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001258071,0.0002777414,0.0001210562,0.0001165747,0.00006272389,0.0001655426,0.0001369593,0.0002356408,0.0006132658],"category_scores_gemma":[0.0001289552,0.0001481368,0.0002004732,0.00008894681,0.0001435149,0.0001727303,0.0001722332,0.000163888,0.0002379472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264219,"about_ca_system_score_gemma":0.0001564141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038049,"about_ca_topic_score_gemma":0.002099011,"domain_scores_codex":[0.9999354,0.000007288533,0.000005501044,0.00001603408,0.00002137028,0.00001451797],"domain_scores_gemma":[0.9999546,0.000009705871,0.00001464232,0.000004342411,0.000007644688,0.000009089206],"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":[0.00000567276,0.000003391403,0.00002531822,0.00001093421,0.000001022719,0.00001539772,0.000004671134,0.0001316121,0.9994301,0.0000336605,0.00000822844,0.0003297916],"study_design_scores_gemma":[0.000005735453,0.00006420497,0.0008660152,0.000003248127,0.000005193929,0.00006454108,0.000009626489,0.002402885,0.995281,0.00001957598,0.001273225,0.000004702156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826842,0.0005263202,0.01480328,0.000071246,0.00002420313,0.00006479294,0.0001518841,0.0001379523,0.001536],"genre_scores_gemma":[0.9822387,0.0004483995,0.01524833,0.00002685209,0.000003389374,0.00004299947,0.0001487531,0.00004182483,0.001800789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001038049,"threshold_uncertainty_score":0.002064049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008320524407524647,"score_gpt":0.1974693661036164,"score_spread":0.1891488416960917,"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."}}