{"id":"W2042894082","doi":"10.1038/nprot.2013.001","title":"Incorporation of a viral DNA-packaging motor channel in lipid bilayers for real-time, single-molecule sensing of chemicals and double-stranded DNA","year":2013,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Nanopore; Nanopore sequencing; DNA; Lipid bilayer; Biosensor; Biophysics; Membrane; Rolling circle replication; Nanotechnology; Nanobiotechnology; Chemistry; Macromolecule; Bacteriophage; Analyte; Ion channel; Computational biology; Biology; DNA sequencing; Biochemistry; Materials science; Polymerase; Escherichia coli; Gene; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424429,0.0002403044,0.000241158,0.0001451692,0.0002398759,0.0004544522,0.0002928497,0.0004503999,0.0003872926],"category_scores_gemma":[0.0004767167,0.00024662,0.0001891717,0.000122981,0.0003017126,0.0006118215,0.0003167868,0.0004463037,0.0001731975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368154,"about_ca_system_score_gemma":0.00045445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009685221,"about_ca_topic_score_gemma":0.001359841,"domain_scores_codex":[0.9998235,0.0000277767,0.00001598299,0.0000398712,0.00005252284,0.00004039467],"domain_scores_gemma":[0.9997833,0.00006898796,0.0000502275,0.00002603314,0.00002940285,0.0000420523],"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":[0.00008481354,0.00002034927,0.00006419008,0.00002672752,0.000003574718,0.00001761166,0.00001347793,0.0001321313,0.9987438,0.0002089219,0.00001503815,0.0006693528],"study_design_scores_gemma":[0.000006921397,0.00004227559,0.0001545659,0.000001891873,0.00000389434,0.00001830953,0.000004412622,0.001552805,0.9978745,0.0000159334,0.0003203996,0.000004017742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9945691,0.0001723536,0.004582481,0.00006111843,0.00002101697,0.00002714761,0.00006557813,0.00005908528,0.0004421708],"genre_scores_gemma":[0.9903412,0.0001540044,0.008473441,0.00003027464,0.00000409149,0.00003013757,0.00008673551,0.0000270238,0.0008530445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009685221,"threshold_uncertainty_score":0.004620433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279640940961237,"score_gpt":0.2490251066536264,"score_spread":0.2362286972440141,"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."}}