{"id":"W4388615989","doi":"10.1080/21645515.2023.2277567","title":"Knowledge mapping of B cell and atherosclerosis over the past 20 years: A bibliometric analysis","year":2023,"lang":"en","type":"article","venue":"Human Vaccines & Immunotherapeutics","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research and Development; National Natural Science Foundation of China; China Academy of Chinese Medical Sciences; Capital Health","keywords":"Web of science; Disease; Immune system; Bibliometrics; Medicine; Immunology; Pathology; Library science; Computer science; Meta-analysis","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006732297,0.000830066,0.002735402,0.1662923,0.00137171,0.00416762,0.0009618569,0.0009687006,0.003818557],"category_scores_gemma":[0.03869574,0.0003406707,0.003080492,0.2083983,0.0008610807,0.003423877,0.002528506,0.0006611412,0.0006385709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222293,"about_ca_system_score_gemma":0.004435516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00778502,"about_ca_topic_score_gemma":0.007357699,"domain_scores_codex":[0.9913378,0.001701128,0.002137237,0.001111465,0.003407694,0.0003047077],"domain_scores_gemma":[0.9617827,0.02584512,0.005659082,0.0009135404,0.005122496,0.000677113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004718868,0.0002042947,0.4208646,0.06650522,0.008688918,0.001403508,0.004590847,0.004712824,0.001709344,0.00384397,0.01978035,0.4672242],"study_design_scores_gemma":[0.0001309783,0.0003934517,0.7992222,0.01858318,0.01739189,0.004406263,0.007343817,0.01210611,0.002067599,0.008520236,0.1295196,0.0003146725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4354005,0.4394424,0.00766684,0.005514729,0.0004369073,0.0008018095,0.09037895,0.0005665319,0.01979135],"genre_scores_gemma":[0.7682158,0.1849415,0.01280345,0.0004174012,0.0005799233,0.0010231,0.03026453,0.00009339493,0.001660851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8337077,"threshold_uncertainty_score":0.03560424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03616911344153224,"score_gpt":0.2723804916036281,"score_spread":0.2362113781620959,"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."}}