{"id":"W2038636572","doi":"10.1021/nn405773r","title":"Multifunctional Albumin–MnO<sub>2</sub> Nanoparticles Modulate Solid Tumor Microenvironment by Attenuating Hypoxia, Acidosis, Vascular Endothelial Growth Factor and Enhance Radiation Response","year":2014,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":626,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tumor microenvironment; Tumor hypoxia; Hypoxia (environmental); Cancer research; Acidosis; Chemistry; Tumor progression; Reactive oxygen species; Metastasis; Cancer cell; Radiation therapy; Biophysics; Cancer; Medicine; Biochemistry; Internal medicine; Biology; Oxygen; Tumor cells","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003083692,0.0003327281,0.0002898064,0.00009388921,0.0001740086,0.00007020948,0.0001554367,0.0001094168,0.00001453216],"category_scores_gemma":[0.0002217007,0.0003470378,0.00008347075,0.0001247083,0.00008140632,0.0003417599,0.00005550296,0.0001679802,0.0001080765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229932,"about_ca_system_score_gemma":0.0000199237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009831112,"about_ca_topic_score_gemma":0.000005012674,"domain_scores_codex":[0.9982976,0.00007476359,0.000406859,0.000386798,0.0003444843,0.0004894586],"domain_scores_gemma":[0.9990886,0.0003131418,0.0001065595,0.0003070312,0.00003290462,0.0001517846],"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":[0.0001342236,0.00003283232,0.0006534809,0.0000411623,0.00008760771,0.000001951043,0.0002266769,0.00133698,0.9845245,0.000006244807,0.0002279207,0.01272642],"study_design_scores_gemma":[0.001131819,0.0001075854,0.006820838,0.00003979344,0.0000440963,0.000008444711,0.00001350606,0.006793035,0.9816961,0.00008431115,0.002876566,0.0003839092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926731,0.001031985,0.00520325,0.00005688391,0.0004091647,0.0003026217,0.000139712,0.0001762245,0.000007061783],"genre_scores_gemma":[0.9984527,0.0004662521,0.0005466486,0.0001460442,0.0001615893,0.00006493497,0.00003437504,0.00009520679,0.00003223628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01234251,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004173828266913777,"score_gpt":0.184987203338234,"score_spread":0.1808133750713203,"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."}}