{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002033601,0.0001513265,0.0001963393,0.00004995338,0.00005194493,0.00001694907,0.0001935614,0.0002367532,0.00002376481],"category_scores_gemma":[0.0001017838,0.00009709846,0.00003643344,0.0001274946,0.0003106461,0.000006135783,0.000119596,0.0001446406,0.000003144921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009751805,"about_ca_system_score_gemma":0.00003199931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003884582,"about_ca_topic_score_gemma":0.00004868996,"domain_scores_codex":[0.9989737,0.0001864847,0.0002285793,0.0003128682,0.00008097744,0.0002173979],"domain_scores_gemma":[0.9995545,0.00007680569,0.00008712131,0.0002059569,0.00003170135,0.00004394155],"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":[0.0001421731,0.00007780642,0.002480932,0.00002662983,0.00001094749,0.000002830408,0.000251659,0.000001816725,0.996531,0.000003281354,0.000176019,0.0002948992],"study_design_scores_gemma":[0.0005302672,0.0003626203,0.001314734,0.00008493607,0.000003034898,0.000002496958,0.00004889891,0.0000128875,0.9947431,0.00001733549,0.002755246,0.000124428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977091,0.001477039,0.0000227756,0.00002732814,0.0002117922,0.0002612202,0.00000656797,0.000006830428,0.0002773365],"genre_scores_gemma":[0.998753,0.0006616799,0.0001616109,0.0001113535,0.0002040507,0.00004878766,0.000004130172,0.00001089053,0.00004453744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579227,"threshold_uncertainty_score":0.395956,"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."}}