{"id":"W2962588699","doi":"10.1002/jbio.201900129","title":"Design, synthesis and photocytotoxicity of upconversion nanoparticles: Potential applications for near‐infrared photodynamic and photothermal therapy","year":2019,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; University of Waterloo","keywords":"Photodynamic therapy; Photothermal therapy; Singlet oxygen; Photosensitizer; Photon upconversion; Nanoparticle; Fluorescence; Irradiation; Laser; Materials science; Photobleaching; Photochemistry; Chemistry; Nanotechnology; Optoelectronics; Optics; Luminescence; Oxygen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001494838,0.0002439566,0.0001468342,0.0001284512,0.000131857,0.0002486788,0.0002449812,0.0003202647,0.0003909015],"category_scores_gemma":[0.0001346196,0.0001403762,0.0002214314,0.00007114453,0.0001756333,0.0001683119,0.0001859316,0.0002035257,0.0001446498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546343,"about_ca_system_score_gemma":0.0002157494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000604459,"about_ca_topic_score_gemma":0.0005912982,"domain_scores_codex":[0.9999363,0.000008709051,0.000005460916,0.0000185109,0.00001767072,0.00001333347],"domain_scores_gemma":[0.999936,0.000009467857,0.00002368555,0.000006673557,0.00001360886,0.00001057723],"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":[0.00003125821,0.00002615296,0.00005853246,0.00003252557,0.00000235358,0.00003282446,0.00001141954,0.0006502775,0.9964707,0.0002566537,0.00002634056,0.002400921],"study_design_scores_gemma":[0.000006839937,0.0001371973,0.0002130366,0.000001760059,0.000006064716,0.00005335065,0.000003068268,0.002130816,0.9966018,0.00001980306,0.0008233318,0.00000282767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729117,0.001414711,0.02285007,0.000119104,0.00003646397,0.000124395,0.0000939196,0.0001218561,0.002327829],"genre_scores_gemma":[0.9863731,0.0005828687,0.01081065,0.00002846726,0.000005050987,0.00006697635,0.00006595936,0.0000132314,0.00205371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000604459,"threshold_uncertainty_score":0.004024208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007299238096695947,"score_gpt":0.2023074480623863,"score_spread":0.1950082099656903,"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."}}