{"id":"W4285730571","doi":"10.3389/fpubh.2022.933555","title":"Global Trends in Nursing-Related Research on COVID-19: A Bibliometric Analysis","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Program of Hunan Province","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Bibliometrics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; MEDLINE; Data science; Medicine; Computer science; Library science; Virology; Political science; Outbreak; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01391898,0.0007950232,0.002717812,0.2323419,0.001523781,0.006046548,0.001079073,0.0008878802,0.004798807],"category_scores_gemma":[0.05678601,0.0003683694,0.002732835,0.2853132,0.001175301,0.00458631,0.003529253,0.0006912922,0.0008003757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003672429,"about_ca_system_score_gemma":0.007277241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00750638,"about_ca_topic_score_gemma":0.009187675,"domain_scores_codex":[0.9832985,0.002971579,0.004088439,0.001633543,0.00738258,0.0006253417],"domain_scores_gemma":[0.9366684,0.03987739,0.01043647,0.001511615,0.01019659,0.001309453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004200231,0.0001522902,0.4499353,0.09359508,0.004764873,0.0009898538,0.007897852,0.002086658,0.001547107,0.007797137,0.03032267,0.4004911],"study_design_scores_gemma":[0.0001148037,0.0002805431,0.7859592,0.02670116,0.007218222,0.001981722,0.01420159,0.005239307,0.001642737,0.007828024,0.1485765,0.0002560451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4950438,0.3043371,0.007590333,0.01113352,0.0007611717,0.0019481,0.1392635,0.0008104505,0.03911196],"genre_scores_gemma":[0.7610018,0.1754828,0.01157025,0.0006632869,0.0008131956,0.001936994,0.04601965,0.0001542269,0.002357811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7676581,"threshold_uncertainty_score":0.0736115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039084906661336,"score_gpt":0.5444492832905405,"score_spread":0.340540792624407,"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."}}