{"id":"W4234321299","doi":"10.32920/ryerson.14661873","title":"Combined cancer therapy using gold nanoparticles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Bleomycin; Cisplatin; Chemistry; Peptide; Colloidal gold; In vitro; Drug; Drug delivery; Toxicity; Biophysics; Cancer research; Nanoparticle; Pharmacology; Biochemistry; Chemotherapy; Nanotechnology; Medicine; Materials science; Biology; Internal medicine; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009741313,0.0004161712,0.0003583528,0.000245846,0.0001269865,0.0003933083,0.0002887829,0.0006104946,0.001406761],"category_scores_gemma":[0.00007370792,0.0001789814,0.0003980216,0.0001492986,0.0001773985,0.0002552584,0.000418221,0.0004854961,0.0006827817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218494,"about_ca_system_score_gemma":0.0001199975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004077148,"about_ca_topic_score_gemma":0.0007833447,"domain_scores_codex":[0.9998804,0.00001418148,0.000005882341,0.00003801742,0.00004277346,0.00001874063],"domain_scores_gemma":[0.9999789,0.000003995538,0.00000534317,0.000003279576,0.000004834366,0.00000351726],"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":[0.00009416651,0.00005600174,0.0001162565,0.0002291363,0.0000356362,0.0001168145,0.00002699269,0.0007349221,0.9800215,0.000445005,0.0004525492,0.01767101],"study_design_scores_gemma":[0.00002742683,0.0005915952,0.0005663369,0.0000199064,0.00004249202,0.0003265359,0.00001417971,0.001705576,0.979893,0.0001671845,0.01663596,0.000009739482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8569254,0.05810443,0.04362845,0.0010674,0.0007873764,0.0003446342,0.0003666357,0.000831534,0.03794422],"genre_scores_gemma":[0.9400334,0.01336778,0.01705589,0.0004908526,0.00005904611,0.0001603898,0.0003028829,0.00006439083,0.0284653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406761,"threshold_uncertainty_score":0.004706085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314930573037267,"score_gpt":0.3255013889593907,"score_spread":0.294008331655664,"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."}}