{"id":"W2127039746","doi":"10.1002/anie.200902439","title":"Nanostructuring of Patterned Microelectrodes To Enhance the Sensitivity of Electrochemical Nucleic Acids Detection","year":2009,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microelectrode; Nanotechnology; Sensitivity (control systems); Biosensor; Materials science; Multielectrode array; Electrochemistry; Computer science; Electrode; Chemistry; Electronic engineering; Engineering","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":[0.0001419455,0.000440726,0.0002102102,0.0002501696,0.0001263719,0.0003484639,0.000322593,0.0004111438,0.0009002005],"category_scores_gemma":[0.0003972038,0.0003797643,0.0002728756,0.0001640415,0.0002909109,0.0003604787,0.0003247373,0.0006171801,0.0005100843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718514,"about_ca_system_score_gemma":0.0001375547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002870984,"about_ca_topic_score_gemma":0.0007455759,"domain_scores_codex":[0.9998504,0.00001251918,0.00001463741,0.00004201751,0.00005448766,0.00002597215],"domain_scores_gemma":[0.9998092,0.00005841297,0.0000337951,0.00004361228,0.00003645862,0.00001841325],"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":[0.000005784058,0.000004467719,0.00002329413,0.00001640058,0.000002957046,0.00001495546,0.000005719687,0.00004473908,0.9988942,0.00006473128,0.00002163645,0.0009012155],"study_design_scores_gemma":[0.0000033399,0.00003103411,0.0003351943,0.000001576809,0.000004079799,0.00003530638,0.000004378316,0.0004352791,0.9984029,0.00004998456,0.0006944662,0.000002553659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9065226,0.002335144,0.08218976,0.0007075459,0.0005093427,0.000169628,0.0004705603,0.0009659065,0.00612956],"genre_scores_gemma":[0.9190543,0.00113857,0.07439774,0.0003612525,0.00005598186,0.00007595908,0.000324781,0.0001001368,0.00449117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009002005,"threshold_uncertainty_score":0.003011525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00421586970806519,"score_gpt":0.2595114915839206,"score_spread":0.2552956218758554,"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."}}