{"id":"W4402474047","doi":"10.2196/56024","title":"Objective Analysis of Traditional Chinese Medicine Syndrome Differentiation of Patients With Diabetes and Prediabetes: Protocol for a Nonrandomized, Exploratory, Observational Case-Control Study Using Digitalized Traditional Chinese Medicine Diagnostic Tools","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Medicine; Diabetes mellitus; Dyslipidemia; Impaired fasting glucose; Observational study; Traditional Chinese medicine; Physical therapy; Internal medicine; Type 2 diabetes; Impaired glucose tolerance; Endocrinology; Alternative medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03247362,0.00317972,0.003734203,0.003002099,0.004183738,0.001433834,0.002857164,0.003912138,0.0205381],"category_scores_gemma":[0.02153184,0.002510767,0.001893214,0.002312543,0.002364589,0.002178664,0.001587161,0.002145544,0.004868563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452535,"about_ca_system_score_gemma":0.009444325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888626,"about_ca_topic_score_gemma":0.002664575,"domain_scores_codex":[0.9794851,0.01327092,0.002784234,0.00174546,0.001659399,0.001054854],"domain_scores_gemma":[0.9852217,0.003797407,0.003233519,0.002342377,0.003723043,0.001681869],"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":[0.566215,0.1925617,0.07860179,0.01357193,0.001954158,0.002347785,0.00426452,0.005887602,0.01208073,0.008566435,0.02804428,0.08590418],"study_design_scores_gemma":[0.5216789,0.285628,0.1231822,0.00333638,0.001127647,0.0008524062,0.002612251,0.009341097,0.003742513,0.005190541,0.0428042,0.0005037964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01006809,0.00006874907,0.002273773,0.00009586113,0.00007110919,0.9862635,0.0007475312,0.00002914877,0.000382214],"genre_scores_gemma":[0.009271643,0.00005690198,0.004319002,0.0001852473,0.00004240465,0.9857301,0.0002129142,0.000002301236,0.0001795633],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03247362,"threshold_uncertainty_score":0.1717389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2357049239963907,"score_gpt":0.4648442013076802,"score_spread":0.2291392773112894,"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."}}