{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003498683,0.0003544555,0.0006969921,0.0003784722,0.0004620542,0.0002223875,0.0002921096,0.0004872792,0.002318298],"category_scores_gemma":[0.00271873,0.0002131486,0.001020288,0.0002328615,0.0005242157,0.0003808195,0.0002946013,0.0005179348,0.0002274659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833037,"about_ca_system_score_gemma":0.0008538947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005342115,"about_ca_topic_score_gemma":0.000529896,"domain_scores_codex":[0.9981753,0.001036809,0.0001804578,0.0002027236,0.0002528194,0.0001518248],"domain_scores_gemma":[0.9984792,0.0005242649,0.0003109192,0.0002478884,0.000217471,0.0002202532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3738406,0.1672111,0.09890331,0.001717086,0.001370681,0.0002766966,0.0008677471,0.002540864,0.01595286,0.0007226063,0.002223625,0.3343728],"study_design_scores_gemma":[0.07427052,0.8327879,0.07700039,0.00008261485,0.0009192963,0.0001752337,0.0001811034,0.002286585,0.009916387,0.0001371385,0.002211797,0.00003106613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980891,0.0002737536,0.000318075,0.00003655942,0.0000244428,0.0007448843,0.000058264,0.000008953755,0.0004459319],"genre_scores_gemma":[0.9976215,0.0001967756,0.0006846032,0.00005613531,0.0000531145,0.0007527135,0.0002009213,0.000002156951,0.000432046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003498683,"threshold_uncertainty_score":0.01850307,"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."}}