{"id":"W2563019585","doi":"10.1021/acs.langmuir.6b04502","title":"Comparison of MoS<sub>2</sub>, WS<sub>2</sub>, and Graphene Oxide for DNA Adsorption and Sensing","year":2016,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education of the People's Republic of China","keywords":"Graphene; Adsorption; Stacking; Desorption; Chemistry; Intercalation (chemistry); van der Waals force; Ionic strength; Oxide; Oligonucleotide; DNA; Biomolecule; Ionic bonding; Nanotechnology; Materials science; Inorganic chemistry; Chemical engineering; Molecule; Physical chemistry; Organic chemistry; Ion","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":[0.0001472199,0.0001744223,0.0002808521,0.00006979161,0.00007144983,0.00001396723,0.00005259185,0.0001785539,1.036362e-7],"category_scores_gemma":[0.00005941108,0.0001290836,0.00009334558,0.00008196686,0.0001647893,0.000007569107,0.00006498965,0.00004463802,4.543709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009139574,"about_ca_system_score_gemma":0.00001030067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000435751,"about_ca_topic_score_gemma":0.00005079082,"domain_scores_codex":[0.9990522,0.00004095284,0.0002470348,0.0003578513,0.00009219218,0.0002098122],"domain_scores_gemma":[0.9994349,0.00003464782,0.0001583837,0.0002056679,0.0001046925,0.00006165351],"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":[0.00008532043,0.00002664416,0.002504878,0.00003317685,0.00004568399,4.925978e-7,0.00001754375,3.713197e-7,0.9731845,0.00004933645,0.0004189623,0.02363311],"study_design_scores_gemma":[0.0004125275,0.0001850208,0.004145211,0.00005670564,0.00006406573,0.00001400602,0.00004673154,0.00005679376,0.9935236,0.0004165834,0.0008795701,0.0001992151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905259,0.0004268625,0.00856576,0.0002076632,0.00002570069,0.0001561298,0.00003314086,0.00004012092,0.00001869985],"genre_scores_gemma":[0.9961325,0.0003862848,0.003187078,0.000104242,0.0000935686,0.000004301442,0.00005914578,0.00002232614,0.00001054601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02343389,"threshold_uncertainty_score":0.5263876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012623470370475,"score_gpt":0.2759682863780373,"score_spread":0.2633448160075623,"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."}}