{"id":"W4388640997","doi":"10.1039/d3nr05380f","title":"Core–multi-shell design: unlocking multimodal capabilities in lanthanide-based nanoparticles as upconverting, <i>T</i><sub>2</sub>-weighted MRI and CT probes","year":2023,"lang":"en","type":"article","venue":"Nanoscale","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation; University of Ottawa","keywords":"Lanthanide; Shell (structure); Materials science; Nanoparticle; Core (optical fiber); Inner core; Nanotechnology; Doping; Layer (electronics); Nuclear magnetic resonance; Optoelectronics; Physics; Composite material; Ion","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":[0.0001524425,0.0003821183,0.0002626875,0.0001214068,0.0001418657,0.0003206408,0.0003994133,0.0004565606,0.0004605765],"category_scores_gemma":[0.0002013076,0.0002801204,0.0001994568,0.00008201711,0.0002729987,0.0003821818,0.0002797751,0.0002622026,0.0003166379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387297,"about_ca_system_score_gemma":0.0001498721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003547035,"about_ca_topic_score_gemma":0.0006426445,"domain_scores_codex":[0.9998885,0.00001570673,0.000009681849,0.00004006033,0.0000238122,0.00002218253],"domain_scores_gemma":[0.9998628,0.00001620814,0.00005633702,0.00001285819,0.00002853851,0.00002323658],"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":[0.00004160827,0.000008364324,0.00002597088,0.0000209546,0.000003031996,0.000009577954,0.00000831979,0.0001214554,0.9984002,0.00009951602,0.00001780175,0.001243177],"study_design_scores_gemma":[0.00001097914,0.00006881853,0.0002543457,0.000001833223,0.000008082773,0.00006611313,0.000004525567,0.001563278,0.9970379,0.00002541928,0.0009529088,0.000005880937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644398,0.0008493478,0.03163014,0.0001105357,0.0000439884,0.00007631965,0.00009949478,0.0003593379,0.002391053],"genre_scores_gemma":[0.9615308,0.0002778571,0.03544173,0.00007874466,0.000009169124,0.00007674915,0.00006979351,0.00007260284,0.002442639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004605765,"threshold_uncertainty_score":0.002810061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021886708879499,"score_gpt":0.2697887131300564,"score_spread":0.2295698460412614,"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."}}