{"id":"W2696272754","doi":"10.1016/j.bios.2017.06.026","title":"Microfluidic platform integrated with graphene-gold nano-composite aptasensor for one-step detection of norovirus","year":2017,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":144,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Norovirus; Aptamer; Detection limit; Nanotechnology; Microfluidics; Graphene; Materials science; Electrode; Chromatography; Chemistry; Virology; Virus; Molecular 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490305,0.0001974303,0.0004746726,0.0001389956,0.0002280706,0.00003681735,0.0001210835,0.000151003,0.000005000361],"category_scores_gemma":[0.0001456592,0.0001423998,0.0001188587,0.00007262381,0.0003763743,0.00008248571,0.00003777186,0.0002079428,0.000001827048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005816996,"about_ca_system_score_gemma":0.00007000397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246321,"about_ca_topic_score_gemma":0.0005044086,"domain_scores_codex":[0.9986443,0.00003243747,0.0002918617,0.0003205686,0.0001399258,0.0005709019],"domain_scores_gemma":[0.9990563,0.00003000721,0.0002027384,0.0003509035,0.0001837427,0.0001763248],"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":[0.004179247,0.0001094272,0.006455981,0.0001368092,0.0001758779,0.000008838842,0.00001194609,1.720595e-7,0.9593169,0.00009284801,0.0004217271,0.02909023],"study_design_scores_gemma":[0.005683939,0.01408547,0.01679753,0.0002486998,0.0001978401,0.0002775673,0.00009606621,0.001068378,0.9415979,0.0001024879,0.01957439,0.0002697871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995028,0.002002458,0.00154515,0.0006019191,0.00005442967,0.0005643885,0.0001099019,0.00002915715,0.0000646331],"genre_scores_gemma":[0.9918481,0.005857239,0.001761644,0.0001375151,0.00008051067,0.00002132086,0.00006184076,0.00002485315,0.0002069789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02882044,"threshold_uncertainty_score":0.5806894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033237784576431,"score_gpt":0.2871229544573366,"score_spread":0.2567905766115723,"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."}}