{"id":"W4389781014","doi":"10.26434/chemrxiv-2023-3cwjs","title":"Large-scale validation of a plasmonic sensor for SARS-CoV-2 pseudo-neutralization with a cohort of food and retail workers","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal; Université Laval; Institut National de Santé Publique du Québec; National Research Council Canada; Centre hospitalier de l'Université Laval","funders":"National Research Council Canada; Public Health Agency of Canada","keywords":"Cohort; Medicine; Vaccination; Population; Epidemiology; Virology; Pandemic; Cohort study; Coronavirus disease 2019 (COVID-19); Environmental health; Internal medicine","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":[0.003766339,0.0008357096,0.0004112923,0.0003735917,0.0007545926,0.0005445555,0.0005980597,0.0009764694,0.0009008126],"category_scores_gemma":[0.002521183,0.000237823,0.000418171,0.0002678661,0.000667281,0.0002130671,0.0006251917,0.0008899324,0.0005192398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777152,"about_ca_system_score_gemma":0.0005511942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709076,"about_ca_topic_score_gemma":0.002097234,"domain_scores_codex":[0.9977106,0.0007842258,0.00009553416,0.0005358253,0.0007036831,0.0001702442],"domain_scores_gemma":[0.9989649,0.0002032012,0.00009341126,0.0001996873,0.0004301038,0.0001086699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002269455,0.004353201,0.1713335,0.0001840995,0.0003042403,0.0003281423,0.002248876,0.001541651,0.7930674,0.0003701088,0.002404058,0.02159517],"study_design_scores_gemma":[0.0004760771,0.03563658,0.3687276,0.00009898454,0.0004827133,0.002524636,0.002305676,0.01397777,0.5616755,0.0009691285,0.01301378,0.0001116959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792922,0.0001744369,0.01728374,0.0002413456,0.00008264518,0.00060049,0.001049559,0.00009270538,0.001182967],"genre_scores_gemma":[0.9776717,0.0002438083,0.0149353,0.0005465457,0.00005714227,0.0008674449,0.002437065,0.0000377155,0.003203285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003766339,"threshold_uncertainty_score":0.01991856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804939873957894,"score_gpt":0.3380220361144582,"score_spread":0.2699726373748793,"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."}}