{"id":"W3043274841","doi":"10.1002/elan.202000065","title":"Effect of Graphene Oxide Sheet Size on the Response of a Label‐free Voltammetric Immunosensor for Cancer Marker VEGF","year":2020,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Centre québécois sur les matériaux fonctionnels","keywords":"Graphene; Biosensor; Materials science; Oxide; Nanotechnology; Electrochemistry; Cyclic voltammetry; Linear range; VEGF receptors; Analytical Chemistry (journal); Detection limit; Electrode; Chemistry; Chromatography","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":[0.0009171491,0.000229436,0.0005003854,0.0001358525,0.00007273432,0.000009377743,0.0003774771,0.0001274794,0.000008960787],"category_scores_gemma":[0.003117992,0.0001480346,0.0005497055,0.001255223,0.0001153493,0.000002628149,0.00007400214,0.0001097983,4.317842e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002068504,"about_ca_system_score_gemma":0.00004874596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005160718,"about_ca_topic_score_gemma":0.00002894987,"domain_scores_codex":[0.9982926,0.0004344034,0.0003757413,0.0003955365,0.0002340989,0.0002676749],"domain_scores_gemma":[0.9980813,0.0006916723,0.0003140527,0.0006415849,0.000214995,0.00005634288],"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":[0.00689232,0.00004772955,0.0006896028,0.00003488902,0.001070982,6.706106e-7,0.00001027808,0.00002217889,0.9868584,0.0000163663,0.001562089,0.002794535],"study_design_scores_gemma":[0.0006053581,0.00241441,0.0007352314,0.00001596876,0.0007234092,8.541035e-7,0.00001261108,0.0003929563,0.9935891,0.0000355816,0.001316592,0.0001579439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960604,0.001124428,0.000877111,0.001476942,0.000010246,0.0002882162,0.00009768183,0.00001967951,0.00004532388],"genre_scores_gemma":[0.9974635,0.0004078861,0.001254733,0.0005207175,0.00005739084,0.00005158834,0.00002686889,0.00002655811,0.0001907308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006730724,"threshold_uncertainty_score":0.6036674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007874278355324775,"score_gpt":0.2720967836427936,"score_spread":0.2642225052874688,"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."}}