{"id":"W3045975047","doi":"10.1101/2020.07.29.20164186","title":"Back to school: use of Dried Blood Spot for the detection of SARS-CoV-2-specific immunoglobulin G (IgG) among schoolchildren in Milan, Italy","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Serology; Dried blood spot; Dried blood; Blood collection; Outbreak; Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Antibody; Sample (material); Virology; Immunology; Emergency medicine; Internal medicine; Biology; Chemistry; Infectious disease (medical specialty); Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004475961,0.0005210206,0.0002550716,0.0008334622,0.0005147512,0.0005030543,0.0003271249,0.0004809597,0.001217808],"category_scores_gemma":[0.000972454,0.0002987057,0.0002083735,0.0004160697,0.00053446,0.0002287731,0.00030626,0.0003013625,0.0004030371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584476,"about_ca_system_score_gemma":0.0004271556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02892507,"about_ca_topic_score_gemma":0.02716239,"domain_scores_codex":[0.9995976,0.0001439431,0.00001870177,0.0001099472,0.00006049858,0.00006933067],"domain_scores_gemma":[0.9997634,0.00004122718,0.0000734598,0.0000179531,0.00004478246,0.00005914849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006825591,0.0001011074,0.9911442,0.00003131741,0.00001589993,0.0006191639,0.001672326,0.00003996846,0.001366408,0.00002338652,0.000590542,0.004327405],"study_design_scores_gemma":[0.000003893733,0.0001726634,0.9974095,0.00001098123,0.00001143705,0.0003425939,0.001172805,0.0001107055,0.0002821451,0.00001225346,0.0004666703,0.000004253392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985038,0.0001426637,0.0001449388,0.00008477941,0.0000120094,0.0000219327,0.0002059573,0.00001122794,0.0008727657],"genre_scores_gemma":[0.9989284,0.00008198392,0.0002754552,0.00005788194,0.00001036712,0.00001364678,0.0001423273,0.000003565634,0.0004864881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892507,"threshold_uncertainty_score":0.05751342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0887796334422478,"score_gpt":0.3042634394271927,"score_spread":0.2154838059849449,"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."}}