{"id":"W4361269809","doi":"10.1002/advs.202206615","title":"CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS‐CoV‐2","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; Health Sciences Centre; York University; Alberta Hospital Edmonton; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Killam Trusts","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Polystyrene sulfonate; Point-of-care testing; Coronavirus disease 2019 (COVID-19); Antigen; Nanotechnology; Virology; Medicine; Materials science; PEDOT:PSS; Immunology; Pathology","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":[0.0002794978,0.0008594102,0.0002510661,0.000329823,0.0001419167,0.0003165642,0.0004879464,0.0007712955,0.0007137134],"category_scores_gemma":[0.0002452006,0.0003147541,0.0002151188,0.0001707412,0.0001996998,0.0003392452,0.0003940266,0.0004316344,0.0004465337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138497,"about_ca_system_score_gemma":0.0002494398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003847314,"about_ca_topic_score_gemma":0.0007572345,"domain_scores_codex":[0.9995192,0.00005691379,0.00002097957,0.0001216082,0.0002462093,0.00003512887],"domain_scores_gemma":[0.9999199,0.00001478334,0.00002202771,0.000006013489,0.00002423533,0.00001306239],"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":[0.00004419102,0.00001596449,0.0001556356,0.00005120458,0.000004533125,0.00004560027,0.00001305468,0.00008298826,0.9952042,0.00009920295,0.000285932,0.003997618],"study_design_scores_gemma":[0.000008544022,0.0002170853,0.001164904,0.000006040157,0.00001028775,0.0005033647,0.00001530515,0.003040795,0.991307,0.0000376817,0.00367613,0.00001298541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7902923,0.009979964,0.1796749,0.0009828926,0.0007258289,0.000387235,0.001379248,0.002992459,0.01358517],"genre_scores_gemma":[0.9153626,0.002369299,0.07203288,0.0005180871,0.00009571185,0.0001673621,0.001068753,0.0000605916,0.008324794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008594102,"threshold_uncertainty_score":0.002387583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292295549922776,"score_gpt":0.3874562223667054,"score_spread":0.3245332668674776,"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."}}