{"id":"W2899927457","doi":"10.3389/fphar.2018.01239","title":"Aqueous Extract of Mori Folium Exerts Bone Protective Effect Through Regulation of Calcium and Redox Homeostasis via PTH/VDR/CaBP and AGEs/RAGE/Nox4/NF-κB Signaling in Diabetic Rats","year":2018,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Higher Education Discipline Innovation Project; Ministry of Education, India; National Natural Science Foundation of China","keywords":"Endocrinology; Internal medicine; RANKL; Calcitriol receptor; Chemistry; Osteoprotegerin; Osteocalcin; Sclerostin; Glycation; Receptor; Medicine; Biochemistry; Activator (genetics); Signal transduction; Alkaline phosphatase","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003391752,0.0002099194,0.0004965496,0.0001631152,0.0000448775,0.000006592148,0.00009454553,0.0002245385,0.00001556311],"category_scores_gemma":[0.00008833275,0.0002076688,0.00005778229,0.0001910486,0.0004601194,0.0000201218,0.0001066694,0.000125199,2.969838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193713,"about_ca_system_score_gemma":0.00005169829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110346,"about_ca_topic_score_gemma":0.00001596997,"domain_scores_codex":[0.9984186,0.0003672742,0.0003752838,0.0004335045,0.0001044185,0.0003009113],"domain_scores_gemma":[0.9994251,0.00004739836,0.000206872,0.000168213,0.00007862406,0.00007379223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001321705,0.0001467527,0.01191891,0.0001775785,0.00007982518,0.00001679131,0.0003359668,0.00003893916,0.9678402,0.000003954529,0.001361852,0.01675752],"study_design_scores_gemma":[0.002390841,0.0006565873,0.02199395,0.00003956026,0.0001393221,0.0000105262,0.00006645339,0.0004653827,0.9728562,0.0007242361,0.0004522264,0.0002047235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977699,0.01724086,0.003563394,0.00005048561,0.0005845838,0.0007404299,0.0000325997,0.000007558774,0.00008104441],"genre_scores_gemma":[0.9972212,0.0005705266,0.001787962,0.00007791819,0.0001731988,0.00008714399,0.00003217336,0.00002281984,0.00002702294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952219,"threshold_uncertainty_score":0.8468489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007161153561364549,"score_gpt":0.267909194529093,"score_spread":0.2607480409677285,"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."}}