{"id":"W4376141497","doi":"10.1002/ange.202305564","title":"Nanostructure‐Driven Indocyanine Green Dimerization Generates Ultra‐Stable Phototheranostics Nanoparticles","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canada Research Chairs; Terry Fox Research Institute; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Foundation for Innovation; Princess Margaret Cancer Foundation","keywords":"Photothermal therapy; Indocyanine green; Photobleaching; Nanostructure; Absorbance; Nanoparticle; Nanocages; Materials science; Chemistry; Nanotechnology; Fluorescence; Optics; Chromatography; Organic chemistry","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":[0.0001211547,0.000201613,0.0001184556,0.00007989692,0.00008375729,0.0001475348,0.0001431405,0.0002835901,0.0006180185],"category_scores_gemma":[0.0001287299,0.0001069083,0.0001150384,0.00005929403,0.0001882953,0.0001498597,0.0001891928,0.0003149252,0.0002153554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349523,"about_ca_system_score_gemma":0.0001138197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360278,"about_ca_topic_score_gemma":0.0003702493,"domain_scores_codex":[0.9999183,0.00001060122,0.000004725953,0.00002655254,0.00002098002,0.00001876371],"domain_scores_gemma":[0.9999474,0.000007856265,0.00001597514,0.000007515649,0.000009383172,0.00001182289],"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":[0.000007065165,0.000004715612,0.00002507113,0.000006910491,8.491797e-7,0.00001019928,0.000006804509,0.00007814964,0.9992749,0.00008941437,0.00004482465,0.0004511108],"study_design_scores_gemma":[0.000005065153,0.00002542928,0.0001822874,7.339241e-7,0.000001292999,0.0000241845,0.000003402757,0.001606848,0.997467,0.00002513177,0.0006565443,0.000001961361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835967,0.0005392437,0.01272553,0.0001594602,0.00003390929,0.00003314822,0.000123013,0.0001923991,0.002596663],"genre_scores_gemma":[0.9954157,0.00008714246,0.003323199,0.0000564119,0.00000384536,0.00001495193,0.00005426492,0.00001675546,0.001027791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006180185,"threshold_uncertainty_score":0.00243026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279684522432623,"score_gpt":0.2123845932242906,"score_spread":0.1995877479999644,"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."}}