{"id":"W4308456919","doi":"10.3390/cells11213514","title":"The Potential for Placental Activation of PPARγ to Improve the Angiogenic Profile in Preeclampsia","year":2022,"lang":"en","type":"article","venue":"Cells","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute","keywords":"Placental growth factor; Preeclampsia; Placenta; Angiogenesis; Rosiglitazone; Trophoblast; Umbilical vein; Endocrinology; Endoglin; PPAR agonist; Peroxisome proliferator-activated receptor; Internal medicine; Vascular endothelial growth factor; Downregulation and upregulation; Biology; Receptor; Cell biology; Medicine; Fetus; Stem cell; Pregnancy; In vitro","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":[0.0002789344,0.00006973914,0.000116917,0.00002916102,0.0002451677,0.000005779555,0.0001307119,0.00002134475,0.00003461868],"category_scores_gemma":[0.00003825372,0.00004244673,0.00009117132,0.0001412212,0.00004172563,0.00002403901,0.0001298778,0.0001109799,0.000003343108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005524415,"about_ca_system_score_gemma":0.00005394642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002266209,"about_ca_topic_score_gemma":0.00001110658,"domain_scores_codex":[0.9993234,0.00005214307,0.000160058,0.0001334326,0.0001606715,0.0001702819],"domain_scores_gemma":[0.9995226,0.0001596556,0.00006364598,0.0002131124,0.00001944187,0.00002152511],"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":[0.004900192,0.0004883525,0.003678206,0.0002443407,0.0003403196,0.000006711667,0.008383301,0.0005952436,0.9056599,0.001188758,0.0406122,0.03390253],"study_design_scores_gemma":[0.005207201,0.001900557,0.04200359,0.0001453674,0.0001986972,0.00001582484,0.00798756,0.002698026,0.8529615,0.001672859,0.08490662,0.0003021423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871522,0.001565978,0.0002965628,0.003326018,0.0006499884,0.00367169,0.00009330823,0.00002257623,0.003221669],"genre_scores_gemma":[0.9972439,0.00002627539,0.0001590538,0.0001895293,0.00007351503,0.0006480175,0.00001532184,0.000009928845,0.001634461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05269829,"threshold_uncertainty_score":0.1885657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054912644329109,"score_gpt":0.2478895864271175,"score_spread":0.2373404599838264,"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."}}