{"id":"W2172081468","doi":"10.1007/s00216-010-3868-4","title":"Label-free amperometric immunobiosensor based on a gold colloid and Prussian blue nanocomposite film modified carbon ionic liquid electrode","year":2010,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Prussian blue; Amperometry; Differential pulse voltammetry; Ionic liquid; Cyclic voltammetry; Detection limit; Colloidal gold; Dielectric spectroscopy; Electrochemistry; Chemistry; Glassy carbon; Nanocomposite; Nuclear chemistry; Biosensor; Electrode; Analytical Chemistry (journal); Materials science; Nanoparticle; Chromatography; Nanotechnology; Catalysis; Organic chemistry","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":[0.00085255,0.000859208,0.0009351671,0.0006743341,0.0004885391,0.0004778179,0.001798886,0.001369854,0.0009834428],"category_scores_gemma":[0.0006503474,0.0005443144,0.0003957587,0.0003560947,0.0005571239,0.0007729587,0.0006128699,0.001039925,0.001013681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005250591,"about_ca_system_score_gemma":0.0005014756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003754311,"about_ca_topic_score_gemma":0.00075624,"domain_scores_codex":[0.9988575,0.0001698177,0.00006952908,0.0003621736,0.0004472539,0.00009368356],"domain_scores_gemma":[0.9995104,0.0001230317,0.00005719612,0.00005976048,0.0001714447,0.00007819997],"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":[0.00003971179,0.0000173399,0.00003142105,0.00004755409,0.000005279581,0.00003560536,0.000008626364,0.00002587114,0.9978215,0.00009871936,0.00006913578,0.001799312],"study_design_scores_gemma":[0.000009716985,0.0001072752,0.0004085588,0.000003062686,0.00001353997,0.0001939537,0.000005886662,0.001140135,0.9971226,0.00007392889,0.000911073,0.00001031793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.560852,0.007844931,0.4161736,0.001438798,0.001304366,0.0005211633,0.0006959147,0.003953079,0.007216159],"genre_scores_gemma":[0.6841584,0.002226864,0.3004138,0.001072685,0.0003647746,0.0004118486,0.0007557394,0.0001431019,0.01045269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798886,"threshold_uncertainty_score":0.004508793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00594955878013605,"score_gpt":0.2387267268323871,"score_spread":0.232777168052251,"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."}}