{"id":"W4224245128","doi":"10.3390/cancers14081887","title":"Blood Plasma Stabilized Gold Nanoclusters for Personalized Tumor Theranostics","year":2022,"lang":"en","type":"article","venue":"Cancers","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Lietuvos Mokslo Taryba","keywords":"Nanoclusters; Singlet oxygen; Nanotechnology; Materials science; Photoluminescence; Colloidal gold; Cancer cell; Nanoparticle; Biophysics; Chemistry; Cancer; Oxygen; Optoelectronics; Medicine; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003072416,0.0001431406,0.0002180915,0.00004341905,0.00041699,0.00005552414,0.0004099855,0.00002088743,0.001719257],"category_scores_gemma":[0.00005455194,0.0001379994,0.0001155238,0.0001583456,0.0001129272,0.00006243396,0.0001053469,0.00007113788,0.00002099008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089748,"about_ca_system_score_gemma":0.0004380663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009179983,"about_ca_topic_score_gemma":0.00002606812,"domain_scores_codex":[0.998744,0.00007279821,0.0002316249,0.0003695397,0.0002546731,0.0003274399],"domain_scores_gemma":[0.9991608,0.00025754,0.000133303,0.0003123428,0.000050704,0.00008535896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002811353,0.00004819199,0.00003825215,0.00004655606,0.00002852258,0.000003026043,0.001196154,0.002097141,0.9811835,0.004536041,0.009908273,0.0006332441],"study_design_scores_gemma":[0.004499167,0.0002869672,0.00002377455,0.000020882,0.0001817206,0.00002648948,0.002711392,0.004340796,0.3462941,0.0005547425,0.6405178,0.0005421657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938058,0.0003319421,0.001261215,0.0006879414,0.0008705424,0.001029476,0.0008355818,0.000129233,0.001048288],"genre_scores_gemma":[0.9869913,0.0000139902,0.004410213,0.001060064,0.000139764,0.002588274,0.0000236916,0.00004660739,0.00472602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6348894,"threshold_uncertainty_score":0.9991933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976568814113172,"score_gpt":0.2499970914627314,"score_spread":0.2302314033215997,"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."}}