{"id":"W2913205228","doi":"10.1007/s00604-019-3282-3","title":"An impedimetric biosensor for E. coli O157:H7 based on the use of self-assembled gold nanoparticles and protein G","year":2019,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada; Medicine Hat College; National Institute for Nanotechnology; University of Alberta","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Biosensor; Cyclic voltammetry; Colloidal gold; Electrode; Chemistry; Nanoparticle; Nanochemistry; Dielectric spectroscopy; Nanotechnology; Self-assembled monolayer; Detection limit; Nuclear chemistry; Analytical Chemistry (journal); Monolayer; Materials science; Electrochemistry; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630957,0.0001677307,0.0001900745,0.00008489986,0.0000577538,0.00003927746,0.0001545447,0.0001312259,9.404584e-7],"category_scores_gemma":[0.00008351361,0.000113591,0.0000956785,0.0001768943,0.00004033965,0.000006705348,0.00004223763,0.00006225063,9.904397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068325,"about_ca_system_score_gemma":0.0000347953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007376747,"about_ca_topic_score_gemma":0.00000657966,"domain_scores_codex":[0.9990662,0.0000733895,0.0002015191,0.0003578434,0.00009059784,0.0002104996],"domain_scores_gemma":[0.9991331,0.00007433278,0.0001386106,0.0004964258,0.0001078961,0.00004960607],"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":[0.0002111353,0.000144057,0.0002733082,0.00002533144,0.00003700684,1.853383e-7,0.000008406747,0.000001986984,0.9982138,0.00002347573,0.0007355003,0.0003257951],"study_design_scores_gemma":[0.000378518,0.0007922102,0.0003321068,0.00002347853,0.00004302513,0.000001338155,0.00001709163,0.001468,0.9875693,0.00001308585,0.009196679,0.0001652137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987748,0.00002097483,0.00007427011,0.0003253853,0.000015437,0.0006925226,0.00003895832,0.00003498297,0.00002267257],"genre_scores_gemma":[0.9857277,0.00002649847,0.01359444,0.000443835,0.00003575657,0.00002284321,0.00003208069,0.00002349754,0.00009333294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01352017,"threshold_uncertainty_score":0.4632109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553476602543826,"score_gpt":0.2490980283411525,"score_spread":0.2335632623157142,"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."}}