{"id":"W4392775541","doi":"10.26434/chemrxiv-2024-f3r30","title":"Self-Replicating DNA-Based Nanoassemblies","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Replication (statistics); DNA; DNA origami; Computer science; Nanotechnology; Materials science; Chemistry; Biology; Nanostructure; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547623,0.0001867749,0.0001290983,0.0001469403,0.0001062224,0.0002838322,0.0001835053,0.0002304946,0.001541763],"category_scores_gemma":[0.0003160968,0.0001692427,0.0001485866,0.0001021786,0.0001814285,0.0003324654,0.0001476104,0.0003460663,0.0007466054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969515,"about_ca_system_score_gemma":0.000126672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001599813,"about_ca_topic_score_gemma":0.0002779639,"domain_scores_codex":[0.9999024,0.00001290658,0.000006669362,0.0000321816,0.00003355599,0.00001226253],"domain_scores_gemma":[0.9998761,0.00003623103,0.00003204649,0.00002315412,0.00001727938,0.00001515429],"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":[0.00001958014,0.00001569802,0.0001674741,0.00004803034,0.000003513426,0.00003823353,0.00004235333,0.0006776135,0.9908953,0.001619466,0.00007703318,0.006395794],"study_design_scores_gemma":[0.000004823581,0.0001040424,0.0002970728,0.000002602045,0.000002902794,0.00009814018,0.000008822632,0.003536794,0.9904642,0.0002644387,0.00521158,0.000004442818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836309,0.002986636,0.1027558,0.0002013413,0.0001183209,0.000123745,0.000240418,0.001112089,0.008830689],"genre_scores_gemma":[0.9579673,0.0008470207,0.0323457,0.00007548973,0.00001466913,0.00006296579,0.0002738891,0.0001009209,0.008312119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001541763,"threshold_uncertainty_score":0.005157709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182836846887732,"score_gpt":0.2847514230678415,"score_spread":0.2729230545989642,"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."}}