{"id":"W2800384773","doi":"10.1039/c8tb00651b","title":"Near-infrared light-triggered drug release from UV-responsive diblock copolymer-coated upconversion nanoparticles with high monodispersity","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Copolymer; Materials science; Photon upconversion; Nanoparticle; Infrared; Chemical engineering; Nanotechnology; Drug delivery; Optoelectronics; Optics; Composite material; Polymer; Doping","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006095094,0.0004395769,0.0008824142,0.0000568405,0.0003575862,0.0004774286,0.000838284,0.0001802594,0.005853408],"category_scores_gemma":[0.0004144701,0.0003232093,0.0000971526,0.0001854398,0.0005568369,0.0009527796,0.0002733773,0.0001414971,0.0003085046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943682,"about_ca_system_score_gemma":0.0003418565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002769051,"about_ca_topic_score_gemma":0.000004477612,"domain_scores_codex":[0.9969287,0.0002167367,0.001076183,0.0004982434,0.0007024417,0.0005776878],"domain_scores_gemma":[0.9966308,0.0001172156,0.001386537,0.0006215426,0.000872288,0.0003715947],"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":[0.008062344,0.0001451512,0.0001014498,0.00009098514,0.0000571877,0.0001657585,0.0006193511,0.00001034781,0.9877176,0.00000154571,0.003004962,0.00002330406],"study_design_scores_gemma":[0.002354118,0.0002709786,0.00024018,0.0004007621,0.0001380606,0.00012086,0.0004888045,0.000003765331,0.9945228,0.0001337191,0.0008896942,0.0004362813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971917,0.0001680054,0.00001549359,0.0007202289,0.001306457,0.000205042,0.0002180612,0.00009439194,0.00008067756],"genre_scores_gemma":[0.9944035,0.000040482,0.003833129,0.0001459552,0.0009581178,0.00000644697,0.00001979986,0.00005482857,0.000537683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006805163,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006207151945377151,"score_gpt":0.2031002119575398,"score_spread":0.1968930600121627,"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."}}