{"id":"W4366286761","doi":"10.1101/2023.04.11.23288440","title":"Electroacupuncture on Modifying Inflammatory Levels of Cytokines and Metabolites in Stroke Patients","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Acupuncture Treatment Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"Division of Materials Research; China Medical University","keywords":"Medicine; Stroke (engine); Electroacupuncture; Internal medicine; Rehabilitation; Cholesterol; Physical therapy; Ischemic stroke; Acupuncture; Ischemia; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004207472,0.0001806093,0.0004896849,0.0002135067,0.0001402621,0.0002323556,0.0001176288,0.0002856323,0.003439527],"category_scores_gemma":[0.0008273547,0.00005981378,0.0003385087,0.0003076454,0.00006803717,0.0001658078,0.0001601002,0.0002301378,0.0002157891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009779305,"about_ca_system_score_gemma":0.0001823169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002462862,"about_ca_topic_score_gemma":0.0003925712,"domain_scores_codex":[0.9997576,0.0001051255,0.00003490909,0.00003335403,0.00003424228,0.00003484493],"domain_scores_gemma":[0.999746,0.00007800588,0.00007572936,0.0000174303,0.00004841408,0.00003448518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1011837,0.01096721,0.1959966,0.007126043,0.002768826,0.00019319,0.0003419494,0.0006825048,0.02832033,0.0001991448,0.004180063,0.6480405],"study_design_scores_gemma":[0.005204202,0.09067435,0.887165,0.0009946355,0.001904488,0.0003431367,0.0003855047,0.0007855921,0.006397225,0.0003877243,0.005706536,0.00005175596],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987959,0.00918276,0.0002801352,0.0003188647,0.00009081699,0.0001717006,0.000801411,0.00001998877,0.001175367],"genre_scores_gemma":[0.9924192,0.004758054,0.0006107301,0.0002910418,0.00007603411,0.0003220329,0.0005415686,0.000001603524,0.0009796913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003439527,"threshold_uncertainty_score":0.01150632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05518045894301073,"score_gpt":0.3240600721350043,"score_spread":0.2688796131919936,"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."}}