{"id":"W4360849775","doi":"10.26434/chemrxiv-2023-0hzxw","title":"Therapeutic Copper-based Nanoparticles Release Labile Copper(II) and Trigger Cellular Responses in Glutathione and NRF2 Redox Pathways and Metal Homeostasis","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Trace Elements in Health","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Science; European Research Council; National Institutes of Health; U.S. Department of Energy; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina; Lawrence Berkeley National Laboratory; Canadian Institute for Advanced Research; Basic Energy Sciences; Universidad de Zaragoza","keywords":"Copper; Glutathione; Nanoparticle; Chemistry; Metal; Copper toxicity; Downregulation and upregulation; Biophysics; Nanomedicine; Homeostasis; Antioxidant; Biochemistry; Nanotechnology; Materials science; Cell biology; Biology; Enzyme; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001872433,0.0002892317,0.0002331603,0.0001642215,0.0001047065,0.0002415854,0.0001710999,0.0003512194,0.001418022],"category_scores_gemma":[0.0002099449,0.0001297851,0.0001513333,0.0001073017,0.0002455567,0.0002171844,0.0001821042,0.000357178,0.0003377641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003390598,"about_ca_system_score_gemma":0.0001627828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004517374,"about_ca_topic_score_gemma":0.0003916768,"domain_scores_codex":[0.9998745,0.00002014833,0.00000515351,0.00003282646,0.00004235959,0.00002509744],"domain_scores_gemma":[0.9999441,0.00001410902,0.00001456431,0.000007563829,0.00001163641,0.000008017204],"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":[0.0001046623,0.00001880265,0.0001830261,0.00005673016,0.00000694554,0.00006740556,0.00003216575,0.0001552363,0.9950362,0.0003226457,0.0002676276,0.003748562],"study_design_scores_gemma":[0.000006614567,0.00007414569,0.0004015934,0.000002517065,0.000003543637,0.00007960378,0.00001496917,0.0009795089,0.9967067,0.0001046989,0.001623729,0.000002398728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579902,0.002523266,0.03216973,0.0004759322,0.000140227,0.0001108641,0.0003503851,0.0005227331,0.005716722],"genre_scores_gemma":[0.986577,0.0006117361,0.006795215,0.0001511855,0.00001948593,0.00006230005,0.0001672306,0.00004392943,0.0055719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001418022,"threshold_uncertainty_score":0.004743755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06055846887719221,"score_gpt":0.3045908462627159,"score_spread":0.2440323773855237,"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."}}