{"id":"W3207760600","doi":"10.26434/chemrxiv.13138427.v1","title":"Cellular Uptake and Magneto-Hyperthermia Induced Cytotoxicity using Photoluminescent Fe3O4 Nanoparticle/Si Quantum Dot Hybrids","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Technische Universität München; University of Alberta; Government of Alberta","keywords":"Nanomaterials; Biocompatibility; Cytotoxicity; Nanotechnology; Nanobiotechnology; Materials science; Nanoparticle; Quantum dot; Oxidative stress; Biophysics; Chemistry; Biochemistry; In vitro; Biology","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":[0.0001758433,0.0001901863,0.0001495268,0.0001086759,0.00009411287,0.0001913277,0.0001698612,0.000281879,0.0003926776],"category_scores_gemma":[0.000101907,0.0001075794,0.0001572709,0.00007284697,0.0001830399,0.0001613614,0.00009435233,0.0001847393,0.0001137494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501961,"about_ca_system_score_gemma":0.00009049441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006247962,"about_ca_topic_score_gemma":0.0006379994,"domain_scores_codex":[0.9998981,0.00001989277,0.000009620781,0.00002310733,0.00002869354,0.00002052294],"domain_scores_gemma":[0.9999249,0.00002985863,0.00001947867,0.000008122583,0.00001087033,0.000006809688],"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":[0.00002964947,0.00001012616,0.00006195129,0.00001054745,0.000001871966,0.00001824729,0.000008081679,0.00007885704,0.9995226,0.00002473758,0.000006151267,0.0002272052],"study_design_scores_gemma":[0.000003416508,0.0001067235,0.0006182651,6.845559e-7,0.000003895822,0.00002596188,0.000005021553,0.0007071443,0.9983978,0.000006549552,0.0001233689,0.000001166996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982834,0.0002521896,0.0009743669,0.00002966716,0.000005734897,0.000005636979,0.00004185703,0.00001751847,0.0003897852],"genre_scores_gemma":[0.9977643,0.0001441708,0.001211944,0.00001539309,0.000002613224,0.000009495147,0.00008466873,0.000004829694,0.0007625212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006247962,"threshold_uncertainty_score":0.002540827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761044532455674,"score_gpt":0.2723626497175245,"score_spread":0.2147522043929678,"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."}}