{"id":"W2352195231","doi":"","title":"Efficacy analysis of ‘Consumptive thirst bi disease treatment program verification program’ on 480 clinical cases","year":2011,"lang":"en","type":"article","venue":"Zhonghua zhongyiyao zazhi","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rheumatism; Blood sugar; Diabetes mellitus; Clinical trial; Blood lipids; Disease; Traditional Chinese medicine; Physical therapy; Internal medicine; Alternative medicine; Pathology; Cholesterol","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003187043,0.0004832923,0.00127625,0.0006382104,0.0001576517,0.00001581648,0.0001866497,0.0001259132,0.000266099],"category_scores_gemma":[0.001043478,0.0003416234,0.0009226166,0.001415864,0.0009606016,0.0000954976,0.00004613449,0.0002833359,0.0001204103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594238,"about_ca_system_score_gemma":0.0002218586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000157642,"about_ca_topic_score_gemma":0.0000584992,"domain_scores_codex":[0.9968387,0.000181738,0.001018522,0.0008399563,0.0006779537,0.0004431038],"domain_scores_gemma":[0.9970238,0.0006805896,0.0003931772,0.0009769278,0.0003539576,0.0005715566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006671476,0.03641991,0.7222789,0.0002157393,0.01100352,0.0008850177,0.002078711,0.00002413126,0.00007164415,0.001526252,0.00123442,0.2175903],"study_design_scores_gemma":[0.003611907,0.006554043,0.9768578,0.0002040482,0.008560915,0.00001642497,0.000232594,0.0003350738,0.0002673672,0.00005496732,0.003023007,0.0002818388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913426,0.0005631052,0.00002521453,0.0006213025,0.0003312688,0.0027834,0.0002067018,0.0004598303,0.00366658],"genre_scores_gemma":[0.9948311,0.0003753628,0.002370165,0.0001471547,0.0003865249,0.0007316939,0.0006711025,0.00005131758,0.0004355727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545789,"threshold_uncertainty_score":0.9999036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2128249314680143,"score_gpt":0.4285684975968883,"score_spread":0.215743566128874,"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."}}