{"id":"W2135032572","doi":"10.1039/c5nr02283e","title":"DNA topology influences molecular machine lifetime in human serum","year":2015,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institutes of Health; National Center for Research Resources; National Institute of General Medical Sciences; Boise State University; W. M. Keck Foundation","keywords":"DNA; Topology (electrical circuits); Human blood; Computer science; Materials science; Nanotechnology; Biological system; Computational biology; Engineering; Biology; Genetics; Electrical engineering; Physiology","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":[0.0001900513,0.0001448662,0.0001781091,0.0000783034,0.00003942506,0.00001268724,0.0001781918,0.0002033179,0.000003992579],"category_scores_gemma":[0.00007241948,0.0001283299,0.00006892897,0.0001575448,0.0001343821,0.000003838077,0.0001118592,0.0000973852,0.000005816601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001932833,"about_ca_system_score_gemma":0.00003745334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000835166,"about_ca_topic_score_gemma":0.0002179192,"domain_scores_codex":[0.9990164,0.00007901591,0.0002114052,0.000327856,0.0001232183,0.000242109],"domain_scores_gemma":[0.9994614,0.000004118346,0.00006370577,0.000308387,0.00006695808,0.00009543053],"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":[0.00002461726,0.00005862831,0.01267014,0.000003162205,0.00001534752,0.00001822311,0.00001661729,0.00001399638,0.9853644,0.00008807442,0.0007759398,0.000950841],"study_design_scores_gemma":[0.0003777858,0.0002848856,0.001953422,0.000009156322,0.00001152559,0.00001507926,0.00003623456,0.0000268648,0.9814895,0.0007899646,0.01481328,0.0001922953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962493,0.000531001,0.0003203379,0.0004986438,0.00005039006,0.00008931525,0.00001133468,0.00003983132,0.0022099],"genre_scores_gemma":[0.9967991,0.00003063247,0.001729478,0.0005919696,0.00007307136,0.000006906761,0.00006268561,0.00001430853,0.0006918251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403734,"threshold_uncertainty_score":0.5233142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036628025498982,"score_gpt":0.2905435289675082,"score_spread":0.2801772487125184,"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."}}