{"id":"W4220798645","doi":"10.1021/acs.langmuir.1c03458","title":"In Vitro Study: Synthesis and Evaluation of Fe<sub>3</sub>O<sub>4</sub>/CQD Magnetic/Fluorescent Nanocomposites for Targeted Drug Delivery, MRI, and Cancer Cell Labeling Applications","year":2022,"lang":"en","type":"article","venue":"Langmuir","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Materials and Energy Research Center","keywords":"Nanocomposite; Superparamagnetism; Nuclear chemistry; Fluorescence; Drug delivery; Viability assay; MTT assay; Doxorubicin; Nanoparticle; Chemistry; Fourier transform infrared spectroscopy; Materials science; In vitro; Nanotechnology; Chemical engineering; Magnetization; Biochemistry; Medicine; Surgery; Chemotherapy","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":[0.000858853,0.0001529745,0.0002486076,0.0001070459,0.0002907665,0.00004625606,0.0001626606,0.0000350896,0.00004399019],"category_scores_gemma":[0.00001664645,0.0001598886,0.00003825017,0.000246108,0.000065109,0.00008981096,0.0001634391,0.00007813303,0.000003567139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519278,"about_ca_system_score_gemma":0.00007695371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006048062,"about_ca_topic_score_gemma":0.0006468763,"domain_scores_codex":[0.9984403,0.0001823479,0.0003338146,0.0004293934,0.0003698569,0.000244289],"domain_scores_gemma":[0.999177,0.0002064347,0.0001609499,0.0002458214,0.0001434726,0.00006626119],"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":[0.00007049646,0.0003024297,0.0002792122,0.00006328248,0.000008073252,4.208848e-7,0.0009434845,0.0001191033,0.9857273,0.00006680613,0.0002778117,0.01214154],"study_design_scores_gemma":[0.000816755,0.00005011412,0.003196238,0.00001064177,0.0001504565,0.000001797048,0.0008838794,0.007406497,0.9866292,0.0002030751,0.0004736538,0.0001777031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936237,0.003255418,0.00005340971,0.0003321366,0.00006392642,0.002144816,0.0004590241,0.00003945484,0.00002805891],"genre_scores_gemma":[0.9936729,0.0002481242,0.000486849,0.00008493205,0.00004457406,0.005393474,0.00003927269,0.00002531411,0.000004528182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196384,"threshold_uncertainty_score":0.6520069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377915437133113,"score_gpt":0.2577431065907962,"score_spread":0.2439639522194651,"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."}}