{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234562,0.0001218298,0.0003405212,0.0002254385,0.0002638996,0.00001909507,0.0000737768,0.00006472101,0.000001291295],"category_scores_gemma":[0.003678464,0.0001076629,0.00008922538,0.001079405,0.0006525992,0.000196905,0.00003945296,0.000149854,0.00001620324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003115296,"about_ca_system_score_gemma":0.00012563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002063099,"about_ca_topic_score_gemma":0.000009242489,"domain_scores_codex":[0.9985313,0.00003781166,0.0004053928,0.0004478282,0.0002668691,0.0003107765],"domain_scores_gemma":[0.9984934,0.0006535558,0.0001875929,0.0002521131,0.000352969,0.00006031567],"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":[0.0004022628,0.00003253368,0.0004500131,0.00002157849,0.00001451406,0.00001929527,0.0001627941,0.000004883105,0.9574132,0.00004140832,0.000009669116,0.04142788],"study_design_scores_gemma":[0.002333065,0.0007059371,0.02640016,0.00008234735,0.00003031595,0.0001789963,0.0003498623,0.006873688,0.9619548,0.0001651755,0.0008080865,0.000117543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995892,0.00008214586,0.002242534,0.0001135017,0.0006046181,0.0005649455,0.000007147137,0.0001569662,0.000336181],"genre_scores_gemma":[0.9944267,0.0001025874,0.004851318,0.0004919114,0.0000707283,0.0000110316,0.000001791961,0.00001614385,0.00002782827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04131034,"threshold_uncertainty_score":0.4403731,"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."}}