{"id":"W2896910805","doi":"10.21873/invivo.11384","title":"Geranylgeraniol Induces PPARγ Expression and Enhances the Biological Effects of a PPARγ Agonist in Adipocyte Lineage Cells","year":2018,"lang":"en","type":"article","venue":"In Vivo","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada","funders":"Suzuken Memorial Foundation","keywords":"Geranylgeraniol; Adipogenesis; Rosiglitazone; Adipocyte; Thiazolidinedione; Peroxisome proliferator-activated receptor; Oil Red O; Agonist; Chemistry; Endocrinology; Internal medicine; Receptor; Cell biology; Gene knockdown; PPAR agonist; Biology; Adipose tissue; Biochemistry; Diabetes mellitus; Medicine; Apoptosis; Type 2 diabetes; Enzyme","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017027,0.0004255861,0.0002586591,0.0003522801,0.0001374698,0.0001843984,0.0001229261,0.0002650447,0.002210746],"category_scores_gemma":[0.00009378274,0.0001263925,0.0004369071,0.0002811776,0.0002771108,0.0001694713,0.000256107,0.0005657791,0.0005425613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997663,"about_ca_system_score_gemma":0.0001787159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098374,"about_ca_topic_score_gemma":0.0006310994,"domain_scores_codex":[0.9998778,0.0000265171,0.00001152906,0.00002396209,0.00003002669,0.00003006343],"domain_scores_gemma":[0.9999269,0.00001674775,0.00001597527,0.00001330305,0.00001140356,0.00001559336],"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":[0.0001640623,0.00002681272,0.00009717942,0.00004394982,0.000005022078,0.00004916001,0.00001359675,0.00002132823,0.9986897,0.00004594306,0.00002972316,0.0008135681],"study_design_scores_gemma":[0.00003309166,0.0004244333,0.003535815,0.000008819399,0.00002796058,0.0002270665,0.00004497145,0.0001228672,0.9927732,0.0000941875,0.002702894,0.000004712188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866218,0.004223319,0.004973933,0.0003595334,0.0001428196,0.00005839127,0.0005114785,0.0001554757,0.002953256],"genre_scores_gemma":[0.9895919,0.002618303,0.003306577,0.0002166951,0.00003027846,0.00004724832,0.0006285475,0.00003479686,0.003525762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002210746,"threshold_uncertainty_score":0.007395625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00840885457921818,"score_gpt":0.2476037145011382,"score_spread":0.2391948599219201,"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."}}