{"id":"W3113362370","doi":"10.1186/s12889-020-10153-1","title":"Simulating preventative testing of SARS-CoV-2 in schools: policy implications","year":2021,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Biostatistics; Medicine; Isolation (microbiology); Pandemic; Test (biology); Public health; Coronavirus disease 2019 (COVID-19); Asymptomatic; Diagnostic test; Sample (material); Epidemiology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Infectious disease (medical specialty); Environmental health; Disease; Family medicine; Pediatrics; Nursing; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002556807,0.000140931,0.00054887,0.0001499148,0.000151106,0.00002223376,0.0001798225,0.0000660529,0.000008145813],"category_scores_gemma":[0.1318079,0.0001264872,0.00007642235,0.001555722,0.00005204906,0.0001249747,0.0002563782,0.0002554283,0.000006111861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006859573,"about_ca_system_score_gemma":0.002658272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243374,"about_ca_topic_score_gemma":0.001566613,"domain_scores_codex":[0.9970842,0.0008493894,0.001011628,0.0003497557,0.0001616953,0.0005433214],"domain_scores_gemma":[0.9893069,0.00937235,0.0005255691,0.0003931511,0.0002906419,0.0001113854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003774568,0.0004735872,0.8059705,0.0008609602,0.0000362341,0.000001750914,0.00188461,0.000105629,0.0008340247,0.155322,0.001195101,0.03331183],"study_design_scores_gemma":[0.000660515,0.0001106605,0.6556738,0.0002391545,0.000006023154,0.000005855527,0.001264904,0.002368972,0.000256267,0.3376422,0.001553544,0.0002180809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886101,0.0004096772,0.04759426,0.05986705,0.00004430598,0.0009442971,0.00006241554,0.0002123681,0.004764622],"genre_scores_gemma":[0.8874915,0.00001646875,0.1096061,0.00269009,0.00007848364,0.00006809499,0.000006650369,0.0000155946,0.00002697801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1823203,"threshold_uncertainty_score":0.8755053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6436938110082034,"score_gpt":0.5645484930365898,"score_spread":0.07914531797161362,"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."}}