{"id":"W4404866314","doi":"10.1002/smll.202408746","title":"Polyphenol‐Scaffolded Modular Assembly of Heterotypic Cell–Cell Assemblies for Potentiating Cancer Immunotherapy","year":2024,"lang":"en","type":"article","venue":"Small","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Natural Science Foundation of Sichuan Province; State Key Laboratory of Polymer Materials Engineering; National Natural Science Foundation of China","keywords":"Cell; Cell biology; Cancer cell; Modular design; Chemistry; Multicellular organism; Immunotherapy; Cancer immunotherapy; Cell type; Biology; Computational biology; Nanotechnology; Cancer; Materials science; Biochemistry; Computer science; Genetics","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":[0.00009736716,0.0002540169,0.0001322337,0.00019878,0.00008730689,0.0002224142,0.0001788454,0.0002835258,0.0007390255],"category_scores_gemma":[0.00009509627,0.0001217862,0.0001898207,0.0001338514,0.0001518099,0.0001913461,0.0001951124,0.0002721089,0.0002621586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173848,"about_ca_system_score_gemma":0.00009923408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814793,"about_ca_topic_score_gemma":0.000607158,"domain_scores_codex":[0.999922,0.00001275095,0.000004186774,0.00002053751,0.00001605349,0.00002435148],"domain_scores_gemma":[0.9999459,0.000009549372,0.00001904059,0.000008249379,0.000005699978,0.00001153657],"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":[0.00001530971,0.00001341312,0.00005544934,0.00002079414,0.000004330724,0.00002574189,0.000009278639,0.0003104811,0.9974432,0.0001201473,0.00003798854,0.001943832],"study_design_scores_gemma":[0.000006962612,0.0001652979,0.001043236,0.000003614837,0.00001453219,0.00007045986,0.00001259637,0.002787385,0.9927181,0.00004929349,0.00312215,0.000006304117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757564,0.001317187,0.01873993,0.00009883753,0.0000448783,0.00005840582,0.0001411394,0.0002581627,0.003585021],"genre_scores_gemma":[0.9913565,0.0004169097,0.006898128,0.0000392262,0.000009062019,0.00003663376,0.00006559417,0.00001406485,0.001163788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007390255,"threshold_uncertainty_score":0.002472341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125717159316077,"score_gpt":0.2764176203520213,"score_spread":0.2551604487588606,"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."}}