{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002492632,0.0003732921,0.0002229327,0.0001519233,0.0001587473,0.0004132025,0.0004905103,0.0005333364,0.001007336],"category_scores_gemma":[0.0006478492,0.0002440843,0.0001874966,0.0001050502,0.0003508091,0.0006614184,0.0005525023,0.0006282826,0.0005710743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782744,"about_ca_system_score_gemma":0.0001479685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450083,"about_ca_topic_score_gemma":0.0005225684,"domain_scores_codex":[0.9997334,0.00003622555,0.00001486841,0.00006278548,0.000120795,0.00003189606],"domain_scores_gemma":[0.9997469,0.0000847152,0.00007528893,0.0000376725,0.00002736225,0.00002801527],"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":[0.0000303245,0.00002133205,0.00007689853,0.00008104507,0.000006914111,0.00005794439,0.00003633842,0.0007641366,0.985395,0.001371718,0.0002310685,0.0119273],"study_design_scores_gemma":[0.00000436714,0.00006718368,0.00009910089,0.000004083308,0.000003863894,0.00008765629,0.00001102037,0.00404358,0.9897246,0.0004101229,0.00553277,0.00001166685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5958773,0.005079994,0.3773848,0.001346999,0.0005232009,0.0002801772,0.00100476,0.003497832,0.01500506],"genre_scores_gemma":[0.8059427,0.002580649,0.1808441,0.0008469871,0.0000900071,0.0002607735,0.0004747306,0.0002403705,0.00871982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007336,"threshold_uncertainty_score":0.003369927,"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."}}