{"id":"W2520610621","doi":"10.1016/j.cocis.2016.09.001","title":"DNA adsorbed on graphene and graphene oxide: Fundamental interactions, desorption and applications","year":2016,"lang":"en","type":"article","venue":"Current Opinion in Colloid & Interface Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":273,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Biointerface; Oxide; Desorption; Nanotechnology; Adsorption; Materials science; Stacking; Chemistry; Organic 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":[],"consensus_categories":[],"category_scores_codex":[0.0002453823,0.0001383423,0.0001056465,0.0002133093,0.000146789,0.00005066825,0.000149907,0.00004155187,0.000001838881],"category_scores_gemma":[0.00005434124,0.0001027114,0.0000349163,0.0003683436,0.0005679264,0.0000274522,0.000142548,0.00007522747,0.000002140909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004892176,"about_ca_system_score_gemma":0.00003341085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004884531,"about_ca_topic_score_gemma":0.00001443379,"domain_scores_codex":[0.9988853,0.00003277907,0.0002013691,0.0005381464,0.0001486307,0.000193736],"domain_scores_gemma":[0.9994879,0.0000228166,0.00009369286,0.0002336677,0.00007673894,0.00008523008],"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":[0.00004625392,0.00006967261,0.003758674,0.00001205065,0.000004657943,2.097475e-8,0.00001105431,0.000001368269,0.972145,0.0003079432,0.0001568517,0.02348642],"study_design_scores_gemma":[0.0004542037,0.0002480034,0.005910261,0.0003149701,0.000006593679,0.00001417169,0.000112091,0.00005363187,0.9659181,0.0005892589,0.02613348,0.0002452426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858538,0.0009449166,0.01222057,0.0002213463,0.000366394,0.0002840241,0.00002754194,0.00002987019,0.00005154277],"genre_scores_gemma":[0.9961832,0.002868392,0.000744879,0.0000234451,0.00006393112,0.00005216677,0.00001093501,0.000006757281,0.00004626956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02597663,"threshold_uncertainty_score":0.418845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395452856648692,"score_gpt":0.348806884727121,"score_spread":0.324852356160634,"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."}}