{"id":"W4388635832","doi":"10.1016/j.heliyon.2023.e22310","title":"Meta-analysis of the traditional Chinese medicine care model in relieving postoperative pain in patients with anorectal diseases","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cochrane Library; Visual analogue scale; Traditional Chinese medicine; Observational study; Confidence interval; MEDLINE; Nursing care; Postoperative pain; Physical therapy; Nursing; Internal medicine; Alternative medicine; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0002898093,0.0001504144,0.0007742352,0.0005536845,0.00002725397,0.000003031138,0.00007174347,0.00004823744,0.0000915775],"category_scores_gemma":[0.0004045484,0.00007651493,0.0002940126,0.002242662,0.00007031423,0.00009016715,0.00002767042,0.0001646555,0.000001435144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008877693,"about_ca_system_score_gemma":0.00007819988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003634723,"about_ca_topic_score_gemma":0.0005638259,"domain_scores_codex":[0.9985842,0.0001994085,0.0003434267,0.0002470995,0.0004673167,0.0001586268],"domain_scores_gemma":[0.9990984,0.0003812491,0.00009011137,0.0002588916,0.0001191848,0.00005214627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003318427,0.0001599311,0.9668052,0.0001670395,0.004770881,0.00001823674,0.002812493,0.02447455,0.0001900639,0.000009850084,0.0000482512,0.0002117219],"study_design_scores_gemma":[0.0007501364,0.0001908578,0.9847801,0.0002185857,0.008715073,3.088748e-7,0.0002494081,0.004928187,0.00005671124,0.00002263887,0.000002432377,0.00008559399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972872,0.001324444,0.00004620295,0.0006383735,0.00004397039,0.0003169204,0.0001692104,0.00001996331,0.0001537531],"genre_scores_gemma":[0.9988903,0.00004895476,0.00006014221,0.0004221006,0.00001923377,0.00005900653,0.0003664754,0.00001530956,0.0001184267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954636,"threshold_uncertainty_score":0.3120188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492279014886548,"score_gpt":0.2641289241128694,"score_spread":0.2292061339640039,"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."}}