{"id":"W4220930523","doi":"10.1016/j.jclinepi.2022.03.006","title":"The currency and completeness of specialized databases of COVID-19 publications","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Children's Hospital of Eastern Ontario; Canadian Agency for Drugs and Technologies in Health","funders":"Centers for Disease Control and Prevention","keywords":"Coronavirus disease 2019 (COVID-19); Database; Systematic review; Medicine; MEDLINE; 2019-20 coronavirus outbreak; Completeness (order theory); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data collection; Information retrieval; Library science; Computer science; Pathology; Infectious disease (medical specialty); Disease; Statistics; Mathematics; Political science; Outbreak","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2375579,0.001454201,0.005888946,0.1526684,0.002627195,0.01606572,0.005328184,0.002235918,0.00704362],"category_scores_gemma":[0.7291979,0.00201972,0.00339219,0.1777154,0.002886029,0.01300181,0.01208147,0.001489503,0.001881346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005867304,"about_ca_system_score_gemma":0.01975239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006009933,"about_ca_topic_score_gemma":0.008233828,"domain_scores_codex":[0.5316929,0.1146216,0.2700117,0.01846707,0.0606873,0.004519477],"domain_scores_gemma":[0.1149213,0.4774649,0.2234635,0.07279512,0.107234,0.004121252],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002372887,0.0002108195,0.5221367,0.1239864,0.007509477,0.0006991669,0.01376288,0.001215806,0.001592163,0.01085835,0.03329227,0.2823631],"study_design_scores_gemma":[0.0007661591,0.0009015907,0.7196859,0.1009902,0.009633375,0.003366765,0.01254793,0.002512949,0.004978627,0.006773858,0.1371941,0.0006486431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4263501,0.2571766,0.02566121,0.01019005,0.002107318,0.00730446,0.2430557,0.001644424,0.02651006],"genre_scores_gemma":[0.7159178,0.05928748,0.07596361,0.001478889,0.001194802,0.01145134,0.1320634,0.0006262018,0.002016429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624421,"threshold_uncertainty_score":0.9402268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7628664202989819,"score_gpt":0.6530062239956689,"score_spread":0.109860196303313,"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."}}