{"id":"W2021880533","doi":"10.1016/j.bios.2013.05.063","title":"Electrochemical impedance immunosensor based on gold nanoparticles–protein G for the detection of cancer marker epidermal growth factor receptor in human plasma and brain tissue","year":2013,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":193,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Colloidal gold; Epidermal growth factor receptor; Human Epidermal Growth Factor Receptor 2; Electrochemistry; Brain cancer; Electrical impedance; Biomedical engineering; Chemistry; Epidermal growth factor; Receptor; Human plasma; Dielectric spectroscopy; Materials science; Nanoparticle; Nanotechnology; Cancer; Biophysics; Chromatography; Medicine; Electrode; Biochemistry; Breast cancer; Internal medicine; Biology","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":[0.0003076577,0.0003319539,0.0002744068,0.0002787869,0.0001705625,0.0001957428,0.0005219698,0.0006838992,0.0004297239],"category_scores_gemma":[0.0003084286,0.0002230869,0.0002278514,0.0002098603,0.0002163167,0.0003057329,0.000236207,0.0003797676,0.0001863901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025306,"about_ca_system_score_gemma":0.0001820487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005710566,"about_ca_topic_score_gemma":0.0008476324,"domain_scores_codex":[0.9997635,0.00005428201,0.00001348454,0.0000639752,0.00007816631,0.0000265934],"domain_scores_gemma":[0.9999108,0.00003381485,0.00001160261,0.00000752492,0.00002422966,0.00001203915],"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":[0.00005761012,0.000009696356,0.0000865743,0.00002891434,0.000004999574,0.00005778279,0.00002485861,0.00007158286,0.9977519,0.00005706278,0.00005032921,0.001798724],"study_design_scores_gemma":[0.000009250891,0.0001122936,0.001000869,0.000003026773,0.00001941897,0.0002709492,0.00002411837,0.002744241,0.994835,0.00006478664,0.0009091172,0.00000684204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111189,0.004670408,0.08001471,0.0007812324,0.000288286,0.00007626154,0.0002382606,0.000570364,0.002241677],"genre_scores_gemma":[0.9643461,0.001458531,0.03097365,0.0003117771,0.00004140644,0.00004937606,0.0001549925,0.00001917164,0.002645044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006838992,"threshold_uncertainty_score":0.002195001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006677739898065599,"score_gpt":0.262682462540793,"score_spread":0.2560047226427274,"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."}}