{"id":"W4415812836","doi":"10.1021/acsnano.5c12530","title":"Write and Read: Harnessing Synthetic DNA Modifications for Nanopore Sequencing","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"H2020 European Research Council; Koret Foundation; National Human Genome Research Institute; Israel Science Foundation; Ontario Genomics Institute; Genome Canada","keywords":"Nanopore; Nanopore sequencing; DNA; DNA sequencing; DNA methylation; Chromatin; Genomics; genomic DNA; Förster resonance energy transfer","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":[],"consensus_categories":[],"category_scores_codex":[0.0001120835,0.0001542457,0.0002048849,0.0001434048,0.0002588028,0.00003140387,0.00009403963,0.00007924919,0.000004750918],"category_scores_gemma":[0.0000261743,0.0001515597,0.00004705814,0.0002428195,0.00005637472,0.0001087067,0.00001766285,0.00006385271,0.000003729955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005300267,"about_ca_system_score_gemma":0.00003178953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124627,"about_ca_topic_score_gemma":0.00001939457,"domain_scores_codex":[0.9992518,0.000006174989,0.0002225569,0.0002079008,0.00006395754,0.0002475889],"domain_scores_gemma":[0.9995829,0.00009453208,0.00002282861,0.0002079735,0.0000563302,0.00003537365],"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":[0.00003954003,0.00006110944,0.001096783,0.001896648,0.0004823408,0.00001654122,0.003355055,0.002476434,0.8978434,0.02707827,0.008183917,0.05746996],"study_design_scores_gemma":[0.001978942,0.00009007359,0.001960784,0.001379614,0.0005877845,0.000022812,0.001890487,0.009895164,0.8076022,0.01759871,0.1557028,0.001290723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946175,0.01846663,0.06131117,0.001563146,0.001457224,0.001289272,0.0001611167,0.00122861,0.01990536],"genre_scores_gemma":[0.9960569,0.0006323012,0.001432268,0.00006514993,0.00004139265,0.0001143893,0.00001960488,0.00002624196,0.001611783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1475189,"threshold_uncertainty_score":0.6180425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777435736301292,"score_gpt":0.2363251271730332,"score_spread":0.2185507698100203,"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."}}