{"id":"W4224260724","doi":"10.1177/00031348221091965","title":"Vascular Surgery Research in the Coronavirus Disease 2019 Pandemic: A Sex-Based Bibliometric Analysis","year":2022,"lang":"en","type":"review","venue":"The American Surgeon","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of British Columbia; University of Toronto; Université de Montréal","funders":"","keywords":"Medicine; Pandemic; MEDLINE; Scopus; Vascular surgery; Coronavirus disease 2019 (COVID-19); Bibliometrics; Family medicine; English language; Disease; Internal medicine; Library science; Cardiac surgery; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","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":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03467483,0.001319705,0.006127608,0.2068444,0.001746341,0.007361901,0.001769088,0.001600636,0.005955149],"category_scores_gemma":[0.1522768,0.0007845302,0.008481489,0.2280247,0.001650392,0.005524851,0.006258943,0.0009932715,0.000893206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005375657,"about_ca_system_score_gemma":0.01135219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00950646,"about_ca_topic_score_gemma":0.01143839,"domain_scores_codex":[0.9552519,0.009769751,0.01734564,0.003228505,0.01296899,0.001435185],"domain_scores_gemma":[0.8265091,0.1166668,0.02974663,0.004556453,0.02104087,0.001480054],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009379429,0.0002174848,0.5439761,0.2280482,0.02583949,0.0009875806,0.006930655,0.001762642,0.0008508842,0.002898416,0.01309319,0.1744575],"study_design_scores_gemma":[0.0003911553,0.0005251439,0.7661278,0.08784801,0.05842659,0.00257174,0.01570722,0.006409831,0.001092489,0.006047647,0.05445266,0.0003996507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4670834,0.3790826,0.007914204,0.01029109,0.0006327421,0.00752935,0.1107625,0.0006162137,0.01608786],"genre_scores_gemma":[0.8654914,0.09275731,0.01190474,0.0007409925,0.0003634889,0.005823782,0.02189953,0.0001239296,0.0008948823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9653252,"threshold_uncertainty_score":0.1833802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.472918778641588,"score_gpt":0.5460853306450997,"score_spread":0.07316655200351163,"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."}}