{"id":"W4322504359","doi":"10.3390/pharmaceutics15030769","title":"Dual-Labelled Nanoparticles Inform on the Stability of Fluorescent Labels In Vivo","year":2023,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fondation CHU de Québec; Université Laval","keywords":"Fluorescence; Nanomedicine; In vivo; Nanoparticle; Labelling; Ethylene glycol; Biodistribution; Cyanine; Chemistry; Nanotechnology; Biophysics; Materials science; Combinatorial chemistry; In vitro; Organic chemistry; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001306348,0.0002020941,0.0002630106,0.000125475,0.0001558717,0.0000144206,0.0002615871,0.0001634364,0.002355592],"category_scores_gemma":[0.0004040902,0.0001476675,0.00009888015,0.0008833119,0.000287018,0.00008445149,0.0001582828,0.0007819571,0.0002773642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101683,"about_ca_system_score_gemma":0.00007421966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214256,"about_ca_topic_score_gemma":0.00002270955,"domain_scores_codex":[0.998206,0.0002334,0.0005331794,0.000237884,0.0002723949,0.0005171642],"domain_scores_gemma":[0.9977406,0.001580111,0.0001283738,0.0002907544,0.00009599482,0.0001641317],"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":[0.0003876059,0.0006555159,0.01374792,0.00007805058,0.00008489895,0.00001580547,0.001137219,0.0002934702,0.9668747,0.003214563,0.007208075,0.00630213],"study_design_scores_gemma":[0.0011939,0.00005235984,0.0009837146,0.00001777028,0.00004665683,0.000002119282,0.0003164955,0.006818462,0.8483431,0.0004200337,0.1416655,0.0001398043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99042,0.0001293195,9.395694e-7,0.003365394,0.000508721,0.000553389,0.00009686671,0.0001081491,0.004817153],"genre_scores_gemma":[0.9970968,0.0009908326,0.00001723282,0.001450723,0.00007937355,0.00008185214,0.000008473851,0.00001948139,0.0002552328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344575,"threshold_uncertainty_score":0.9985564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2288144282196427,"score_gpt":0.4516033087023144,"score_spread":0.2227888804826717,"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."}}