{"id":"W2952042581","doi":"10.1016/j.talanta.2016.04.047","title":"Dual immunosensor based on methylene blue-electroadsorbed graphene oxide for rapid detection of the influenza A virus antigen","year":2016,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Public Health Agency of Canada; Poultry Industry Council; Natural Sciences and Engineering Research Council of Canada; Canadian Poultry Research Council","keywords":"Chemistry; Methylene blue; Graphene; Influenza A virus subtype H5N1; Oxide; Biosensor; Monoclonal antibody; Antigen; Chitosan; Antibody; Nanotechnology; Virus; Virology; Catalysis; Biochemistry; Materials science; Organic chemistry","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":[0.0001959367,0.0001587341,0.000175226,0.00006625753,0.00008598761,0.000006618176,0.0001412276,0.0001361841,0.000001695347],"category_scores_gemma":[0.0001343418,0.00008853155,0.0002442614,0.0001409971,0.0001140694,0.00000299677,0.00003913046,0.0000496372,9.101294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001282647,"about_ca_system_score_gemma":0.00003084424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002229128,"about_ca_topic_score_gemma":0.00005298156,"domain_scores_codex":[0.9990739,0.0000795013,0.0002247474,0.0002846878,0.00012659,0.0002106104],"domain_scores_gemma":[0.9991702,0.0000427835,0.0001746091,0.0004811012,0.0001012935,0.00002999307],"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":[0.0005036407,0.00004973142,0.0001890501,0.000006100377,0.00006812208,3.484966e-7,0.000003706957,0.000004534683,0.9908105,0.000007848304,0.00008088898,0.008275488],"study_design_scores_gemma":[0.0006397288,0.0004723443,0.001504581,0.00003062472,0.00004526684,0.000005118608,0.000008298754,0.00003938219,0.9917076,0.00005811257,0.005341779,0.0001472095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945154,0.0001438801,0.004794368,0.00009563917,0.00004488662,0.000242846,0.0000817907,0.00003248797,0.00004865475],"genre_scores_gemma":[0.9987398,0.0001636566,0.0005851411,0.0002997892,0.00006680786,0.00001832511,0.00001673017,0.00002115323,0.00008859771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008128279,"threshold_uncertainty_score":0.3610212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058043401610844,"score_gpt":0.2636593422917444,"score_spread":0.253078908275636,"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."}}