{"id":"W4408605673","doi":"10.1016/j.eujim.2025.102445","title":"Salvia miltiorrhiza in angina pectoris and myocardial infarction: A bibliometric analysis","year":2025,"lang":"en","type":"article","venue":"European Journal of Integrative Medicine","topic":"Traditional Chinese Medicine Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science, Technology and Innovation Commission of Shenzhen Municipality; Southwest Medical University; Department of Science and Technology of Sichuan Province","keywords":"Salvia miltiorrhiza; Angina; Myocardial infarction; Medicine; Cardiology; Internal medicine; Salvia; Traditional medicine; Traditional Chinese medicine; Alternative medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.00228092,0.0002989908,0.001332921,0.09560119,0.00005909483,0.00001807898,0.0001684177,0.00003772354,0.0003210833],"category_scores_gemma":[0.003547216,0.0001692602,0.0003754656,0.1108249,0.000307022,0.000159786,0.00003833109,0.0007859934,0.000007086004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935378,"about_ca_system_score_gemma":0.0001470216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009438219,"about_ca_topic_score_gemma":0.00002915449,"domain_scores_codex":[0.9971581,0.000552733,0.00111531,0.0002718429,0.0006887534,0.0002132429],"domain_scores_gemma":[0.9976208,0.0005269414,0.0003964255,0.0002410831,0.0009679476,0.0002467939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007152342,0.0002386129,0.9483766,0.00007950626,0.005666567,0.001702313,0.00262319,0.00004828421,0.002540524,0.0003789779,0.01581283,0.02181738],"study_design_scores_gemma":[0.003647598,0.001254587,0.9835681,0.0007872827,0.003868771,0.0003033005,0.001890861,0.0001882579,0.00006008645,0.0001428812,0.004176463,0.0001118293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383772,0.01061328,0.01505421,0.01546893,0.000535901,0.0001939692,0.000007928596,0.00002497697,0.01972361],"genre_scores_gemma":[0.9953614,0.001352532,0.0008010922,0.001064865,0.0008451796,0.000001878882,0.0000242935,0.00001868108,0.0005300939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05698419,"threshold_uncertainty_score":0.9146494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521025717575494,"score_gpt":0.3003057768301194,"score_spread":0.2850955196543644,"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."}}