{"id":"W3118676337","doi":"","title":"Bibliometric Analysis of Worldwide Coronavirus Research based on Web of Science between 1970 and February 2020","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrality; Betweenness centrality; Web of science; Bibliometrics; Social network analysis; Webometrics; Data science; Closeness; Library science; Citation; China; Geography; Coronavirus; Coronavirus disease 2019 (COVID-19); Pandemic; Descriptive statistics; Computer science; World Wide Web; Political science; Statistics; MEDLINE; Social media; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01223414,0.0003112534,0.002156116,0.05272433,0.0003882737,0.00031638,0.00354975,0.0001118459,0.002519951],"category_scores_gemma":[0.03514511,0.0002434916,0.0003506104,0.2296135,0.001990424,0.0007911102,0.002602661,0.0006792442,0.000005027894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543848,"about_ca_system_score_gemma":0.0004003432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871683,"about_ca_topic_score_gemma":0.00008046452,"domain_scores_codex":[0.9935598,0.001004501,0.001648785,0.0007706623,0.002431292,0.0005849301],"domain_scores_gemma":[0.9780108,0.01838508,0.00137997,0.0006456309,0.001077023,0.000501482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002245094,0.0002236744,0.9607556,0.0002810131,0.0006205204,0.00001448038,0.0001029958,0.0003392964,0.01674668,0.0001763489,0.01060068,0.009914186],"study_design_scores_gemma":[0.0004066617,0.00007788795,0.9810546,0.0002447054,0.000514317,2.549133e-7,0.00006521794,0.001999529,0.007207921,0.00767883,0.0005163841,0.0002336682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885074,0.006947482,0.0004369066,0.001613312,0.00005655094,0.0005389332,0.0001676199,0.00002635285,0.001705432],"genre_scores_gemma":[0.9930521,0.005258705,0.00111573,0.0004344965,0.00006968193,0.00001956972,0.000004152504,0.00002517725,0.00002036965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768892,"threshold_uncertainty_score":0.9983919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7796599056086541,"score_gpt":0.6744480922062391,"score_spread":0.1052118134024149,"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."}}