{"id":"W4308067666","doi":"10.1371/journal.pone.0251470","title":"Reliability of COVID-19 data: An evaluation and reflection","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Temple University; George Washington University","keywords":"Coronavirus disease 2019 (COVID-19); Reliability (semiconductor); Case fatality rate; Statistics; Medicine; Bayesian probability; Demography; Environmental health; Computer science; Geography; Mathematics; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6109113,0.0008510996,0.001253505,0.00817034,0.002335184,0.009519909,0.004552609,0.002004988,0.001494099],"category_scores_gemma":[0.797815,0.001140489,0.002048261,0.007842933,0.009773123,0.008610654,0.006333233,0.004147268,0.0004441601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01279325,"about_ca_system_score_gemma":0.009756248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008836423,"about_ca_topic_score_gemma":0.004627839,"domain_scores_codex":[0.361771,0.4558166,0.04671471,0.0118341,0.1210926,0.002771126],"domain_scores_gemma":[0.09205205,0.6607003,0.05420082,0.03820871,0.1530251,0.001813055],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173912,0.0003833466,0.6316122,0.004122736,0.001595199,0.0003750772,0.05035504,0.007542837,0.001312167,0.0374077,0.02049013,0.2436297],"study_design_scores_gemma":[0.0003757543,0.003723372,0.5984857,0.02016877,0.001924049,0.001771883,0.06548145,0.1046457,0.01290529,0.0573559,0.1322982,0.0008639625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5181763,0.01231015,0.3062441,0.08650196,0.002086259,0.00659935,0.005638407,0.0009050573,0.06153841],"genre_scores_gemma":[0.9409574,0.001154916,0.05252796,0.002276189,0.0002922157,0.00119975,0.0008472275,0.0001663725,0.0005780114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3890887,"threshold_uncertainty_score":0.4798157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7114254818258388,"score_gpt":0.5099654720464981,"score_spread":0.2014600097793406,"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."}}