{"id":"W4241185462","doi":"10.14740/jem611","title":"Effects of Anti-Malarial Drug, Hydroxychloroquine, on Glucose and Lipid Metabolism in Japanese Population","year":2019,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Global Health and Medicine","keywords":"Medicine; Hydroxychloroquine; Internal medicine; Prednisolone; Rheumatoid arthritis; Triglyceride; Endocrinology; Cholesterol; Adverse effect; Population; Drug; Gastroenterology; Pharmacology","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":[0.0003476347,0.0002741612,0.0003596153,0.0004850088,0.0005389685,0.0003575866,0.0001271342,0.0002469299,0.0005952396],"category_scores_gemma":[0.0008316034,0.0001678706,0.0003965752,0.0006256675,0.0002337905,0.000244639,0.0001714468,0.0003040307,0.00008003395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056652,"about_ca_system_score_gemma":0.000271235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116501,"about_ca_topic_score_gemma":0.01064466,"domain_scores_codex":[0.9997696,0.00004752567,0.00002779099,0.0000608163,0.00004212626,0.00005213709],"domain_scores_gemma":[0.9995992,0.00003632862,0.0001421961,0.00001877269,0.00009216451,0.0001114845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002669549,0.00006400756,0.9961604,0.00002373541,0.00007228534,0.0004515217,0.0001779097,0.00002081631,0.0006272559,0.000008486836,0.00008646383,0.002040154],"study_design_scores_gemma":[0.00001086563,0.0002190362,0.9985029,0.000004852454,0.00007900463,0.0006352495,0.0002425349,0.00007204925,0.00004879884,0.00001196727,0.0001691733,0.00000367388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986612,0.0009104934,0.00002539362,0.00003973645,0.000005609863,0.00000401921,0.00004961698,0.000001462172,0.000302484],"genre_scores_gemma":[0.999423,0.0003268511,0.00003511196,0.00004061558,0.00001337785,0.000002263351,0.00007291107,0.000001147785,0.00008468308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116501,"threshold_uncertainty_score":0.02219999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008491638337444459,"score_gpt":0.2721757096375669,"score_spread":0.2636840713001224,"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."}}