{"id":"W2971226090","doi":"10.1021/acssensors.9b01053","title":"Programmable DNA Nanoswitch Sensing with Solid-State Nanopores","year":2019,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Canada Foundation for Innovation","keywords":"Nanopore; Nanotechnology; Solid-state; Materials science; DNA; Molecule; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009030713,0.000303579,0.0003615753,0.0001091221,0.0001023112,0.00003775373,0.0001043739,0.00007769035,0.00002806898],"category_scores_gemma":[0.00000380741,0.0002457786,0.00006337903,0.0003341019,0.00005684753,0.0001526993,0.0000198269,0.0001591396,0.0002458931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003350848,"about_ca_system_score_gemma":0.00001978939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003749686,"about_ca_topic_score_gemma":0.00008458275,"domain_scores_codex":[0.9985928,0.00001155506,0.0002497052,0.0002918109,0.0002512421,0.0006028886],"domain_scores_gemma":[0.999447,0.0000292951,0.00004088909,0.000314975,0.00007928452,0.00008858014],"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":[0.0005511119,0.0002387915,0.05610518,0.002013881,0.002563164,0.002063861,0.01537279,0.2081329,0.6752146,0.0004005547,0.008744868,0.02859825],"study_design_scores_gemma":[0.001754048,0.0003786499,0.002483202,0.0003162163,0.0001223046,0.0001372456,0.0009339176,0.004057012,0.9367682,0.0003656625,0.05131896,0.001364567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936482,0.0003064311,0.0001400453,0.00006956049,0.0003582709,0.000398227,0.000007994797,0.0006418082,0.004429426],"genre_scores_gemma":[0.9956017,0.0002201172,0.0008515535,0.0000422691,0.00006221825,0.00000664919,0.00001464421,0.00009213317,0.003108759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2615536,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005133893875325531,"score_gpt":0.1895602468443394,"score_spread":0.1844263529690138,"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."}}