{"id":"W2981553809","doi":"10.1149/2.0361915jes","title":"Enhanced Sensitivity of Dopamine Biosensors: An Electrochemical Approach Based on Nanocomposite Electrodes Comprising Polyaniline, Nitrogen-Doped Graphene, and DNA-Functionalized Carbon Nanotubes","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Graphene; Materials science; Polyaniline; Nanocomposite; Carbon nanotube; Polymerization; Ascorbic acid; Cyclic voltammetry; Biosensor; Monomer; Boronic acid; Electrode; Chemical engineering; Electrochemistry; Nanotechnology; Polymer; Chemistry; Combinatorial chemistry; Composite material","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":[0.0004057263,0.0006747356,0.0003670132,0.0003433916,0.0002050998,0.0004637836,0.0007554405,0.001077022,0.0005004408],"category_scores_gemma":[0.0006079148,0.0005366307,0.0002747254,0.0002167225,0.0003595059,0.000553637,0.0004239735,0.000889262,0.0002527864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006718862,"about_ca_system_score_gemma":0.000326126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006522291,"about_ca_topic_score_gemma":0.002372574,"domain_scores_codex":[0.9994486,0.00008367812,0.00003360326,0.0001877484,0.000198304,0.00004809732],"domain_scores_gemma":[0.9997588,0.00008719874,0.00003652794,0.00002225606,0.00006094034,0.0000343532],"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":[0.00001951601,0.000009958644,0.00003244138,0.00002664593,0.000004044168,0.00001797846,0.00001043548,0.00003149651,0.9986784,0.00005399619,0.00001860021,0.001096531],"study_design_scores_gemma":[0.000002705808,0.00002689463,0.000154209,0.000001444202,0.000005288194,0.00006956257,0.000003281392,0.0008477132,0.9985347,0.00001489123,0.0003353321,0.000003972174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9046355,0.00556403,0.08457187,0.0006683036,0.0003011649,0.0001058607,0.0003373895,0.0006905139,0.00312529],"genre_scores_gemma":[0.9405724,0.001748679,0.05375297,0.0002094401,0.00005099952,0.00006888136,0.0002184336,0.00003497075,0.003343279],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001077022,"threshold_uncertainty_score":0.004874945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004661083031362905,"score_gpt":0.1940468396436168,"score_spread":0.1893857566122539,"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."}}