{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419406,0.0001978798,0.0001919022,0.0001539763,0.0001370963,0.0003436882,0.0003169704,0.0003470028,0.0004854283],"category_scores_gemma":[0.0005137461,0.0001442255,0.0001438241,0.0001251309,0.0003823528,0.0006627449,0.0002791353,0.0003205203,0.0001504908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003451792,"about_ca_system_score_gemma":0.0001675867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004304334,"about_ca_topic_score_gemma":0.0007165573,"domain_scores_codex":[0.9997765,0.00003092765,0.00001443315,0.00005060198,0.00009954057,0.0000280017],"domain_scores_gemma":[0.9996856,0.0001703842,0.00005769184,0.0000245878,0.00004076861,0.00002093551],"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":[0.0000184772,0.00001144036,0.0001008305,0.00002413692,0.000003054452,0.0000155507,0.00001544324,0.0005157533,0.9976999,0.000311853,0.00001933712,0.00126429],"study_design_scores_gemma":[0.000004927415,0.00007032694,0.0002739124,0.000002114569,0.0000030841,0.00002699634,0.00001261101,0.007566672,0.9913198,0.0001482501,0.0005645345,0.000006628228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792252,0.0005804514,0.01887573,0.0001093128,0.0000302962,0.00003211244,0.0001035871,0.0001515005,0.0008917744],"genre_scores_gemma":[0.9835021,0.0003073234,0.01523963,0.00004590883,0.000009120187,0.00002583872,0.00007160692,0.00001520583,0.0007831379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004854283,"threshold_uncertainty_score":0.002504528,"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."}}