{"id":"W2950016168","doi":"10.1039/c9nr02797a","title":"Measurements of aptamer–protein binding kinetics using graphene field-effect transistors","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Graphene research and applications","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"China Scholarship Council; Advanced Storage Research Consortium; National Science Foundation","keywords":"Aptamer; Graphene; Kinetics; Materials science; Field-effect transistor; Field (mathematics); Nanotechnology; Transistor; Physics; Biology; Molecular biology; Mathematics; Quantum mechanics","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":[0.0004938822,0.0008890782,0.0003096298,0.0007183186,0.0005153845,0.0004993665,0.0008573675,0.001318761,0.003523082],"category_scores_gemma":[0.001186056,0.0003131199,0.0004295902,0.000664606,0.0004853374,0.0005613112,0.0003434533,0.001308295,0.0008828401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000811076,"about_ca_system_score_gemma":0.0002473776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622729,"about_ca_topic_score_gemma":0.002685781,"domain_scores_codex":[0.9992909,0.0001270934,0.00002864868,0.0001619073,0.0002812728,0.0001101709],"domain_scores_gemma":[0.9992728,0.0004140981,0.000104581,0.00006900246,0.00008755215,0.00005197796],"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":[0.00006867639,0.00003607469,0.0001442286,0.00005352646,0.00002008602,0.00002708796,0.00005309856,0.0002089754,0.9975258,0.0001965163,0.0001745677,0.001491415],"study_design_scores_gemma":[0.00001264841,0.000101055,0.002518022,0.000008019601,0.00001660832,0.0000966391,0.00004312856,0.00594828,0.989938,0.0002644771,0.001024511,0.00002861421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927371,0.003648755,0.0512001,0.0007766677,0.0005100056,0.0002085643,0.003257154,0.001443282,0.01158457],"genre_scores_gemma":[0.9734365,0.001986936,0.01801769,0.0003310607,0.00005991805,0.0002011011,0.0009817051,0.0000737044,0.004911286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003523082,"threshold_uncertainty_score":0.01178586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606130167347608,"score_gpt":0.2904729802933141,"score_spread":0.254411678619838,"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."}}