{"id":"W4385483539","doi":"10.1038/s41467-023-40300-2","title":"Site-selective superassembly of biomimetic nanorobots enabling deep penetration into tumor with stiff stroma","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Fudan University; Beijing Normal University; National Natural Science Foundation of China","keywords":"Nanorobotics; Internalization; Photothermal therapy; Nanomedicine; Stroma; Cancer research; Penetration (warfare); Extravasation; Metastasis; Stromal cell; Nanodevice; Nanocarriers; Tumor microenvironment; Triple-negative breast cancer; Drug delivery; Medicine; Nanotechnology; Breast cancer; Materials science; Cancer; Pathology; Tumor cells; Nanoparticle; Receptor; Internal medicine","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":[0.0001315348,0.0001339584,0.0001784277,0.0001757679,0.0002863132,0.00003558587,0.0005013278,0.00006443386,0.00002807068],"category_scores_gemma":[0.00002321414,0.000118924,0.00006126444,0.001019703,0.00008451716,0.0001264012,0.0001504826,0.0004321585,0.000036141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003355073,"about_ca_system_score_gemma":0.0001220606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000178523,"about_ca_topic_score_gemma":0.0005148223,"domain_scores_codex":[0.9992006,0.00008771606,0.0002185506,0.0001723761,0.0001388292,0.0001819165],"domain_scores_gemma":[0.9984304,0.0002554394,0.0001261732,0.000863002,0.0002749363,0.00005004401],"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":[0.00008631843,0.0008321156,0.2298439,0.0000714877,0.0005051249,0.000003131168,0.004616557,0.003654136,0.6541409,0.09695115,0.002255756,0.007039359],"study_design_scores_gemma":[0.006433304,0.001216389,0.4007423,0.0006275737,0.001097225,0.00002044792,0.00927777,0.0505498,0.4933706,0.01333859,0.02061373,0.002712286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914606,0.001264361,0.00360932,0.000696426,0.00008617607,0.0004135905,0.00005001143,0.00009996424,0.002319566],"genre_scores_gemma":[0.9892696,0.00003602267,0.01001547,0.00002868842,0.00004400196,0.00003029822,0.0004629728,0.00002201881,0.00009090538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1708984,"threshold_uncertainty_score":0.4849581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134414785223782,"score_gpt":0.275307362804261,"score_spread":0.2639632149520232,"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."}}