{"id":"W3158611137","doi":"10.1007/s00216-021-03377-6","title":"Emerging point-of-care biosensors for rapid diagnosis of COVID-19: current progress, challenges, and future prospects","year":2021,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biosensor; Point-of-care testing; Coronavirus disease 2019 (COVID-19); Point of care; Computer science; Risk analysis (engineering); Nanotechnology; Medicine; Pathology; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000258716,0.0005102508,0.002538059,0.0001336778,0.0000721469,0.00002466625,0.0001130879,0.0005127949,0.00007745527],"category_scores_gemma":[0.0015387,0.000375388,0.0008011567,0.0004624859,0.0006013331,0.00002965499,0.00014316,0.0005310125,7.672416e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008855271,"about_ca_system_score_gemma":0.0004254663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002273611,"about_ca_topic_score_gemma":0.000001094495,"domain_scores_codex":[0.9974108,0.00004624348,0.0009596621,0.0008361187,0.0003622799,0.000384855],"domain_scores_gemma":[0.9978433,0.0006154814,0.000361896,0.0003776459,0.0003197406,0.0004819616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000390435,0.0002310156,0.0001417308,0.1507978,0.0005722216,0.00004737068,0.0000532997,4.697921e-9,0.00001294313,0.0005182244,0.0001060074,0.8474804],"study_design_scores_gemma":[0.0008600877,0.0002342468,0.00000779186,0.01133274,0.005799965,0.0002533212,0.0005005973,0.0001448979,0.002475812,0.00006667172,0.9778751,0.0004487991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003358574,0.9972567,0.00000644078,0.001142431,0.00006626042,0.000614312,0.00009544606,0.00004474893,0.0004378301],"genre_scores_gemma":[0.001316402,0.9973716,0.0002979765,0.00007614462,0.0006807699,0.00008483516,0.0001052159,0.00004318901,0.0000239294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9777691,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07555813401232894,"score_gpt":0.381023686981417,"score_spread":0.3054655529690881,"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."}}