{"id":"W2971060594","doi":"10.1186/s13287-019-1375-x","title":"Chrysosplenetin promotes osteoblastogenesis of bone marrow stromal cells via Wnt/β-catenin pathway and enhances osteogenesis in estrogen deficiency-induced bone loss","year":2019,"lang":"en","type":"article","venue":"Stem Cell Research & Therapy","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Guangdong Science and Technology Department; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Wnt signaling pathway; DKK1; Noggin; Osteoblast; LRP5; Bone morphogenetic protein 2; Ovariectomized rat; Chemistry; Internal medicine; Endocrinology; Stromal cell; Bone morphogenetic protein; Bone marrow; Cell biology; Biology; Estrogen; Signal transduction; Medicine; Biochemistry; In vitro; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001138069,0.0003193125,0.0004781653,0.0002508858,0.0001015026,0.00005126045,0.0003669962,0.0002281121,0.00009430348],"category_scores_gemma":[0.00001491816,0.0002828334,0.0001500514,0.0004268581,0.0002310955,0.00001641007,0.0002500003,0.0001652302,0.0000315152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001956329,"about_ca_system_score_gemma":0.000334969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615376,"about_ca_topic_score_gemma":0.0000748479,"domain_scores_codex":[0.9967152,0.0005433315,0.0004968245,0.0008177587,0.0006391922,0.0007876777],"domain_scores_gemma":[0.9987378,0.00008108361,0.0001588886,0.0005558729,0.0002401873,0.0002262117],"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":[0.0008011564,0.000317286,0.008367859,0.0001655796,0.00002043652,0.00001186981,0.0001623703,0.000008677336,0.9720898,0.00001391717,0.00002088042,0.01802012],"study_design_scores_gemma":[0.001583353,0.001436626,0.004364248,0.00003301089,0.000008461036,0.000007524734,0.00040549,0.00001642263,0.9910683,0.00003721513,0.000749553,0.0002898118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676132,0.03092117,0.00001022779,0.00005107929,0.0000897645,0.0009631178,0.00008034733,0.00001164475,0.0002594444],"genre_scores_gemma":[0.9957471,0.00299965,0.0001645311,0.00001972922,0.00007911529,0.0001034956,0.00004293374,0.00005564648,0.0007877944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0281339,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922133579948375,"score_gpt":0.2679565799825639,"score_spread":0.2487352441830802,"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."}}