{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001050775,0.000346427,0.000206235,0.0001459185,0.0001177818,0.0001545417,0.0001370935,0.0002460573,0.0003235284],"category_scores_gemma":[0.0001239336,0.000173772,0.000207763,0.00007146657,0.0001443315,0.0002385472,0.0001921643,0.0001940308,0.0001806732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557027,"about_ca_system_score_gemma":0.0001714543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004194246,"about_ca_topic_score_gemma":0.001268501,"domain_scores_codex":[0.9999298,0.000009065123,0.000005916005,0.00002007596,0.00001560312,0.00001945643],"domain_scores_gemma":[0.9999088,0.00001400533,0.00003480144,0.00000801878,0.00001338831,0.00002096726],"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":[0.00002044172,0.000006521347,0.00004798162,0.00002649279,0.000001907624,0.00002322584,0.000008522516,0.0002259989,0.9984269,0.00006326734,0.00001998983,0.001128688],"study_design_scores_gemma":[0.000006971247,0.0001616625,0.0006467988,0.00000372923,0.000006443582,0.0000976399,0.00001353943,0.004073327,0.9938241,0.00002932017,0.001128061,0.000008449532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967904,0.001030071,0.02907197,0.00005624168,0.00004684773,0.00008184208,0.00009651219,0.000268411,0.001444125],"genre_scores_gemma":[0.9726511,0.0004824102,0.02489538,0.00006342938,0.00001334516,0.00006465148,0.00008454842,0.00004833277,0.001696853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004194246,"threshold_uncertainty_score":0.001129687,"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."}}