{"id":"W4220739013","doi":"10.1021/acsnano.1c09575","title":"Electronic Mapping of a Bacterial Genome with Dual Solid-State Nanopores and Active Single-Molecule Control","year":2022,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute","keywords":"Genome; Nanopore; DNA; Nanopore sequencing; Epigenome; Computational biology; Escherichia coli; DNA sequencing; Nanotechnology; Computer science; Biology; Materials science; Genetics; Gene","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":[0.00009419675,0.0001947232,0.0003398474,0.0001307377,0.0001615084,0.00001108177,0.00009323131,0.00002947108,0.00005083841],"category_scores_gemma":[0.000003712633,0.000183301,0.00004238475,0.000240338,0.00006987669,0.00008715529,0.00004410979,0.0001438323,0.000001192935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007648797,"about_ca_system_score_gemma":0.00004697677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654245,"about_ca_topic_score_gemma":0.00004006886,"domain_scores_codex":[0.9989392,0.00002508084,0.0002293767,0.0002044007,0.0001853323,0.0004166446],"domain_scores_gemma":[0.9996802,0.00003615949,0.00006617801,0.0001343472,0.00003928457,0.00004379695],"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":[0.0003241216,0.00005638308,0.0001509875,0.00006210835,0.0004230223,0.00005399063,0.002562207,0.001985744,0.9937915,0.0000656162,0.00005444347,0.0004699429],"study_design_scores_gemma":[0.008170914,0.002991803,0.003505997,0.00006810844,0.0002848959,0.0001827845,0.002002832,0.0003071632,0.9524395,0.0005356107,0.02828885,0.001221502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973015,0.001175268,0.0005253243,0.00003888769,0.0001167026,0.0002700036,0.0001555688,0.00009824635,0.0003185335],"genre_scores_gemma":[0.9994594,0.0001724173,0.00004720035,0.00003070693,0.00004605921,0.00007117871,0.00003891845,0.00004193173,0.0000921658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0413519,"threshold_uncertainty_score":0.7474796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599440439492457,"score_gpt":0.1757699045989469,"score_spread":0.1701704641594544,"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."}}