{"id":"W2394965243","doi":"10.1021/acsnano.5b04333","title":"Topological Linkage of DNA Tiles Bonded by Paranemic Cohesion","year":2015,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Army Research Office; Division of Computing and Communication Foundations; National Institute of General Medical Sciences; Division of Emerging Frontiers in Research and Innovation; Division of Civil, Mechanical and Manufacturing Innovation; Office of Naval Research; Gordon and Betty Moore Foundation","keywords":"Catenation; Topoisomerase; DNA; Topology (electrical circuits); Crystallography; Biophysics; Chemistry; Biology; Biochemistry; Mathematics; Combinatorics","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":[0.0001400972,0.0001044327,0.0001553575,0.00002278474,0.00002579721,0.00000554861,0.0001286062,0.0001946348,0.000001636079],"category_scores_gemma":[0.0001046249,0.00007920197,0.00006450594,0.00007560319,0.0001180207,0.000002035636,0.00007102941,0.00004947449,0.000003420046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008289448,"about_ca_system_score_gemma":0.00002678818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000964742,"about_ca_topic_score_gemma":0.00000360591,"domain_scores_codex":[0.9993231,0.00004252672,0.0001707382,0.000216311,0.0001091968,0.0001381587],"domain_scores_gemma":[0.9995034,0.000008940093,0.00008522603,0.000255137,0.00008565713,0.00006159377],"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":[0.0000442336,0.0000489653,0.0004624001,0.000003646088,0.0000153039,0.000001577651,0.0000076116,4.407609e-7,0.985808,0.00002780999,0.0124296,0.001150382],"study_design_scores_gemma":[0.0002169006,0.0002982084,0.00005097465,0.000008276059,0.00001850991,0.000007050513,0.00003730724,0.000003946901,0.9734218,0.0002716133,0.02555906,0.0001063962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997664,0.0006790676,0.0003988121,0.000144885,0.00003271921,0.00006484728,0.00001783883,0.00003014796,0.0009677331],"genre_scores_gemma":[0.9966211,0.0002178395,0.00191305,0.0001870645,0.00005787348,0.000002614362,0.0001382999,0.000008117333,0.0008539868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312946,"threshold_uncertainty_score":0.3229763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636639661123346,"score_gpt":0.2782707104865357,"score_spread":0.2619043138753022,"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."}}