{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009949997,0.0009626605,0.0004339141,0.001125041,0.0002819446,0.0005281415,0.0008342862,0.001508795,0.001523809],"category_scores_gemma":[0.001398428,0.0005522486,0.0005385056,0.0005175417,0.0003556103,0.0003890158,0.0006789488,0.0009298868,0.001090469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296212,"about_ca_system_score_gemma":0.0002623159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004769365,"about_ca_topic_score_gemma":0.001176812,"domain_scores_codex":[0.9988006,0.0002792725,0.0000567046,0.0002908296,0.0004752906,0.00009732359],"domain_scores_gemma":[0.999302,0.0002883282,0.0001293927,0.00005321199,0.0001718312,0.00005526938],"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":[0.0001761955,0.0001701918,0.001866175,0.0002070603,0.00007194619,0.000141273,0.0001178567,0.0005920308,0.9791899,0.0003331142,0.0007379011,0.0163965],"study_design_scores_gemma":[0.00002022247,0.0006783268,0.006235604,0.00004298024,0.00005388406,0.0007766316,0.0001349728,0.01626015,0.9718819,0.0003155161,0.003542065,0.00005774112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6566287,0.007180446,0.310508,0.0008466961,0.000815581,0.0005943491,0.002285581,0.003338503,0.0178021],"genre_scores_gemma":[0.7999405,0.003123653,0.1809921,0.0008116171,0.0001259788,0.0007553101,0.001473581,0.000089414,0.01268779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001523809,"threshold_uncertainty_score":0.005262077,"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."}}