{"id":"W4285296170","doi":"10.1039/d2sd00073c","title":"SERS-based assay for multiplexed detection of cross-reactivity and persistence of antibodies against the spike of the native, P.1 and B.1.617.2 SARS-CoV-2 in non-hospitalised adults","year":2022,"lang":"en","type":"article","venue":"Sensors & Diagnostics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; National Research Council Canada; Centre hospitalier universitaire de Québec; Université de Montréal; Université Laval; Regroupement Québécois sur les Matériaux de Pointe","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Persistence (discontinuity); Antibody; Spike Protein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spike (software development); Antibody response; Virology; Coronavirus disease 2019 (COVID-19); Immunology; Medicine; Computer science; Internal medicine; Engineering; Disease","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":[0.0007325331,0.0001593673,0.0003766713,0.0001499488,0.0001739484,0.000011933,0.0001509652,0.00007345952,4.350359e-7],"category_scores_gemma":[0.004772271,0.0001120133,0.0001255884,0.0004000712,0.0007335262,0.00005878746,0.0001369075,0.0002806535,1.102067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007262681,"about_ca_system_score_gemma":0.0001398061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006186718,"about_ca_topic_score_gemma":0.0003562221,"domain_scores_codex":[0.9985202,0.0001848371,0.0003418066,0.0002730878,0.0004530313,0.0002270573],"domain_scores_gemma":[0.9959618,0.003056531,0.0002605388,0.000325816,0.0003787099,0.00001653929],"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":[0.001016643,0.0002885317,0.3659138,0.0004284897,0.00004404282,0.000007823843,0.002420324,0.00006752938,0.6280873,0.000007205319,0.00001414513,0.001704217],"study_design_scores_gemma":[0.00250374,0.0004884352,0.3081526,0.0001570148,0.0000483733,0.000003310654,0.001954274,0.0123685,0.6740693,0.0000208274,0.0001508542,0.00008281116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978291,0.0002883437,0.00003886618,0.0002006382,0.00009504153,0.001266767,0.000204831,0.000009037408,0.00006730729],"genre_scores_gemma":[0.998928,0.00003676642,0.0000950446,0.0008356213,0.00001831273,0.0000602879,0.000003798174,0.00001942237,0.000002790298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0577612,"threshold_uncertainty_score":0.5713198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289244386129488,"score_gpt":0.3244904713936912,"score_spread":0.2955660327807424,"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."}}