{"id":"W4205141828","doi":"10.3389/fpubh.2021.794836","title":"Trends in Research on Traditional Chinese Health Exercises for Improving Cognitive Function: A Bibliometric Analysis of the Literature From 2001 to 2020","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences; Shanghai University of Sport","keywords":"Cognition; Bibliometrics; Web of science; China; Mainland China; MEDLINE; Psychology; Library science; Political science; Computer science","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":[0.004350761,0.0002084735,0.0009890454,0.0878059,0.0004631962,0.00002900452,0.0002500129,0.0000554116,0.0002413656],"category_scores_gemma":[0.001981873,0.0001515938,0.0002419322,0.2612052,0.0001181176,0.0001251752,0.0001063988,0.001051157,4.702994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365874,"about_ca_system_score_gemma":0.001476502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276071,"about_ca_topic_score_gemma":0.0004941902,"domain_scores_codex":[0.9955866,0.0007611258,0.0007524748,0.0006116622,0.001568762,0.0007194303],"domain_scores_gemma":[0.9977151,0.0009933211,0.0002237995,0.0003249497,0.0003417828,0.0004010999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001791474,0.001754581,0.5067917,0.0003043764,0.0007128168,0.0000124964,0.007473487,0.0002458987,0.000005201921,0.0002792033,0.3586076,0.1220211],"study_design_scores_gemma":[0.002354581,0.002052537,0.9861243,0.0001540969,0.00007709633,0.000003772842,0.003794865,0.001013182,3.698524e-7,0.0007373315,0.003588578,0.00009928353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7759136,0.009464242,0.002862708,0.1986683,0.002221642,0.002494614,0.007627608,0.00004731649,0.0006999361],"genre_scores_gemma":[0.9885561,0.0001591621,0.001183515,0.006201439,0.0004426876,0.0008143795,0.00240357,0.00002532764,0.0002138265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4793326,"threshold_uncertainty_score":0.922533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610450231603036,"score_gpt":0.4153003413883222,"score_spread":0.2542553182280187,"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."}}