{"id":"W4412899444","doi":"10.21203/rs.3.rs-7170660/v1","title":"Dimensional Control of DNA Nanostructures Enhances Cellular Uptake and Guides Tissue-Regenerative Responses","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Regenerative medicine; Nanotechnology; Cell biology; DNA; Control (management); Nanostructure; Biophysics; Chemistry; Biology; Computer science; Materials science; Stem cell; Genetics; Artificial intelligence","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":[0.0001316275,0.0002682185,0.0001657958,0.0001415712,0.0001534557,0.0005706542,0.0002581826,0.0004113735,0.001685125],"category_scores_gemma":[0.0003364206,0.000247586,0.0001292,0.0001369087,0.0003176474,0.0002927165,0.0002827208,0.0003072148,0.0005692707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026365,"about_ca_system_score_gemma":0.000213188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004597889,"about_ca_topic_score_gemma":0.001238158,"domain_scores_codex":[0.9998651,0.000009974167,0.000008314637,0.00004491739,0.00004662316,0.00002513342],"domain_scores_gemma":[0.999768,0.00006386637,0.00007789637,0.00002973066,0.00002829562,0.00003227029],"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":[0.00002380981,0.00001001852,0.00005737225,0.00001768608,0.000001363113,0.00001099215,0.00001295342,0.0003153161,0.998471,0.0002591499,0.00004129965,0.0007791086],"study_design_scores_gemma":[0.000006652412,0.00003262416,0.0003615685,0.000001168194,0.000002401022,0.00002353753,0.000008423193,0.0020827,0.9963325,0.00008094996,0.001062989,0.000004513171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725146,0.0007470588,0.01679217,0.0002293839,0.0001058338,0.00003734421,0.0002750851,0.0002911868,0.009007353],"genre_scores_gemma":[0.9903936,0.0002305227,0.005406539,0.00006748165,0.00001712543,0.00002593238,0.000100197,0.00006575169,0.003692822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685125,"threshold_uncertainty_score":0.005637288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312146277309859,"score_gpt":0.376739294567787,"score_spread":0.3536178317946884,"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."}}