{"id":"W6946211390","doi":"10.3389/fphar.2021.639860.s001","title":"table1_Cohort Studies on Chronic Non-communicable Diseases Treated With Traditional Chinese Medicine: A Bibliometric Analysis.pdf","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Cohort study; Prospective cohort study; Inclusion and exclusion criteria; Epidemiology; Kidney disease; MEDLINE; Disease","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":[0.007377867,0.001398428,0.004432696,0.1026277,0.001107806,0.003288622,0.001354765,0.0006554002,0.06639887],"category_scores_gemma":[0.06486098,0.00069081,0.005347242,0.1774117,0.0006317078,0.003439527,0.001907771,0.0008434425,0.00374818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789488,"about_ca_system_score_gemma":0.005215881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007366244,"about_ca_topic_score_gemma":0.007817723,"domain_scores_codex":[0.9914925,0.001382309,0.003432365,0.0007798951,0.002548749,0.0003642532],"domain_scores_gemma":[0.9123099,0.06536971,0.0104637,0.001563492,0.009491923,0.0008012569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001428818,0.0002127647,0.206194,0.4050731,0.01732426,0.001092391,0.001755062,0.001446432,0.00161623,0.002969042,0.1832311,0.1776569],"study_design_scores_gemma":[0.0007898767,0.0003022714,0.605872,0.0573989,0.02604842,0.002454629,0.003827697,0.002399155,0.001385107,0.003930874,0.2953595,0.0002315507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04689029,0.07114356,0.002249523,0.002271566,0.0004862662,0.002966625,0.8639199,0.001082211,0.008990046],"genre_scores_gemma":[0.3756069,0.1498305,0.02247065,0.001352498,0.00100606,0.01661855,0.419983,0.0007281128,0.01240365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8973723,"threshold_uncertainty_score":0.2221264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06417446839482671,"score_gpt":0.2989476585015123,"score_spread":0.2347731901066856,"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."}}