{"id":"W4412302916","doi":"","title":"Rationalizing design of genosensors exploiting electric properties of DNA","year":2015,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"DNA; Computational biology; Computer science; Biology; Genetics","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":[0.0002237796,0.0005035098,0.0004450582,0.0002024483,0.0001795877,0.000636475,0.0005517327,0.000430554,0.001092608],"category_scores_gemma":[0.0004258361,0.0002434043,0.000231442,0.0001747687,0.0003041971,0.0005893978,0.0004945736,0.0005275056,0.0004413484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501913,"about_ca_system_score_gemma":0.0004522406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002617552,"about_ca_topic_score_gemma":0.0007979684,"domain_scores_codex":[0.9999087,0.00001082882,0.000007416766,0.00002483002,0.00002229447,0.00002595464],"domain_scores_gemma":[0.9999049,0.00002709672,0.00002461431,0.000009295401,0.00001743466,0.00001675464],"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":[0.0001825667,0.0002123079,0.0008092929,0.0005724687,0.0000391136,0.0003724166,0.00007240428,0.0390158,0.909122,0.02064322,0.0004389693,0.02851941],"study_design_scores_gemma":[0.00007511601,0.0007628942,0.0003933482,0.0000362781,0.00003041669,0.0002076493,0.0001123912,0.09147611,0.8881422,0.00422977,0.0144981,0.00003574442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7559726,0.002293395,0.2265288,0.0006002404,0.0002137519,0.0004023253,0.0003341352,0.0009823366,0.01267248],"genre_scores_gemma":[0.9119604,0.00209729,0.0824597,0.0001983677,0.00001472867,0.0001886329,0.0002234165,0.00007704901,0.002780444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001092608,"threshold_uncertainty_score":0.003655136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003809992583269,"score_gpt":0.2535026034557987,"score_spread":0.1531216041974719,"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."}}