{"id":"W2805177148","doi":"10.1101/343376","title":"Direct immunosensing of avian influenza A virus in whole blood using hybrid nanocomposites","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Detection limit; Biosensor; Cyclic voltammetry; Colloidal gold; Graphene; Nanocomposite; Hydroquinone; Virus; Chemistry; Linear range; Nuclear chemistry; Nanoparticle; Materials science; Chromatography; Virology; Electrochemistry; Nanotechnology; Biochemistry; Biology; Electrode","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":[0.0002035005,0.0005065524,0.0002270263,0.0002924555,0.00008422197,0.0002563696,0.000334162,0.0004043637,0.0003040434],"category_scores_gemma":[0.0002280703,0.0002560841,0.0002024404,0.0001132355,0.0001198792,0.0002042676,0.0002474451,0.0002493885,0.0001703735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700064,"about_ca_system_score_gemma":0.00006319502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090672,"about_ca_topic_score_gemma":0.000387182,"domain_scores_codex":[0.9998178,0.00002282723,0.00001456997,0.00007150139,0.00005954013,0.00001378167],"domain_scores_gemma":[0.9998764,0.00004008794,0.00002719079,0.000007895137,0.00003388906,0.00001464365],"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":[0.00001813125,0.000009250684,0.00009825666,0.00002268194,0.000004224441,0.00001546717,0.000005196156,0.00005216133,0.9988141,0.00001096509,0.00001079806,0.0009387714],"study_design_scores_gemma":[0.000005158604,0.0001672913,0.00106761,0.000004443065,0.0000140191,0.0001541761,0.00001037241,0.002717679,0.9954017,0.00001676165,0.0004345406,0.000006188973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967548,0.002163427,0.02851962,0.00007169115,0.00008179691,0.00006866748,0.0001730668,0.0003071417,0.001066606],"genre_scores_gemma":[0.9624953,0.0005629697,0.03464,0.00007617086,0.00002534264,0.00007322234,0.0001702318,0.00001499873,0.001941862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005065524,"threshold_uncertainty_score":0.001233518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236154514328665,"score_gpt":0.30613575985344,"score_spread":0.2637742147101533,"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."}}