{"id":"W4402137769","doi":"10.3390/cells13171468","title":"Understanding Macrophage Interaction with Antimony-Doped Tin Oxide Plasmonic Nanoparticles","year":2024,"lang":"en","type":"article","venue":"Cells","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Photothermal therapy; Biocompatibility; Nanotechnology; Nanoparticle; Materials science; Photothermal effect; Tin oxide; Viability assay; Macrophage; Biophysics; Chemistry; Doping; Cell; Biology; Optoelectronics; Biochemistry; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006008907,0.000147216,0.00011504,0.00009071322,0.00004366304,0.0001323961,0.00008021889,0.00004981927,0.0001043797],"category_scores_gemma":[0.000002350785,0.0001253356,0.00003784936,0.0002327933,0.00002911212,0.0002693141,0.00001436195,0.0001786213,0.0003290515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348156,"about_ca_system_score_gemma":0.00001966489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007685756,"about_ca_topic_score_gemma":0.00002016108,"domain_scores_codex":[0.9993179,0.000005301181,0.0001475673,0.0001541031,0.0001214444,0.0002536138],"domain_scores_gemma":[0.999707,0.00006962676,0.00001340002,0.0001411355,0.000008308094,0.0000604995],"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":[0.00002471208,0.000006870006,0.00004654297,0.0001552889,0.00007353187,0.000106283,0.0002661334,0.01955165,0.977441,0.0003107795,0.001303008,0.0007142325],"study_design_scores_gemma":[0.0002124195,0.00004099088,0.00001853395,0.0001902052,0.00003427911,0.00001866023,0.0002069693,0.04345898,0.9508256,0.0002836558,0.00452581,0.000183881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756687,0.0006287827,0.01922548,0.00001975207,0.0009910461,0.0001302951,0.00001043371,0.0006090463,0.002716427],"genre_scores_gemma":[0.998807,0.0001318432,0.0005239595,0.00001588088,0.00005079462,0.000007059372,0.000004366132,0.00006999386,0.000389169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02661535,"threshold_uncertainty_score":0.5111039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386458668578907,"score_gpt":0.2223906047900771,"score_spread":0.188526018104288,"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."}}