{"id":"W4293239739","doi":"10.26434/chemrxiv-2022-1r7rm","title":"DNA Sequence and Length Dictate the Assembly of Nucleic Acid Block Copolymers","year":2022,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Research Chairs; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Canada Council for the Arts","keywords":"Copolymer; DNA; Sequence (biology); Nucleic acid; Polymerization; DNA nanotechnology; Polymer; Self-assembly; Materials science; Thymine; Supramolecular chemistry; Biophysics; Chemistry; Crystallography; Nanotechnology; Biochemistry; Biology; Crystal structure","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001119734,0.000302519,0.0003729519,0.00003517448,0.0001634773,0.00004218019,0.0005177682,0.0001840956,0.0009607754],"category_scores_gemma":[0.00005001916,0.0002553285,0.0001312831,0.00008552895,0.000213883,0.00006278643,0.0007155164,0.000552675,0.000003533341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000590722,"about_ca_system_score_gemma":0.00008962386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002066222,"about_ca_topic_score_gemma":0.000001203417,"domain_scores_codex":[0.9985906,0.00003272545,0.0003772668,0.000480675,0.0002774703,0.0002412909],"domain_scores_gemma":[0.9985387,0.0001028877,0.0005012846,0.0007467439,0.00003798666,0.00007238207],"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":[0.00002332953,0.00004089548,0.0005154601,0.0003671902,0.00009767612,0.000005191256,0.0006292954,0.0000153864,0.9932684,0.0001018749,0.00006130422,0.004874036],"study_design_scores_gemma":[0.0001471726,0.000007704973,0.0002693453,0.0001192679,0.00009319286,0.000008117328,0.0004328319,0.000255142,0.994757,0.000114465,0.003516117,0.0002796609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991196,0.001966603,0.00002613955,0.0003492288,0.0002062963,0.00009520039,0.00007862447,0.00007462275,0.006007296],"genre_scores_gemma":[0.9973764,0.001075155,0.00005606082,0.00008797668,0.0001264296,0.00008137403,0.0001226766,0.00005758819,0.001016342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006180408,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043436340705455,"score_gpt":0.2530074640477469,"score_spread":0.2325731006406924,"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."}}