{"id":"W4305015470","doi":"10.1172/jci.insight.158908","title":"HIF1 inhibitor acriflavine rescues early-onset preeclampsia phenotype in mice lacking placental prolyl hydroxylase domain protein 2","year":2022,"lang":"en","type":"article","venue":"JCI Insight","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Placentation; Preeclampsia; Placenta; Fetus; Intrauterine growth restriction; Conditional gene knockout; Hypoxia (environmental); Trophoblast; Placental growth factor; Pregnancy; Endocrinology; Knockout mouse; Medicine; Internal medicine; Phenotype; Biology; Chemistry; Receptor; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004900633,0.0003679428,0.000572774,0.0002766525,0.0004218964,0.00003460982,0.0002671059,0.0001307478,0.0003837326],"category_scores_gemma":[0.0001271686,0.0003423421,0.0001454488,0.0006251993,0.0001518543,0.0002380993,0.0005691568,0.0009836374,0.00006404026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752281,"about_ca_system_score_gemma":0.0001831957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002275409,"about_ca_topic_score_gemma":0.0002578828,"domain_scores_codex":[0.9971575,0.0003536717,0.0005609312,0.0006376812,0.0006650217,0.0006251599],"domain_scores_gemma":[0.9990361,0.00009616409,0.000166312,0.0004989937,0.00004753055,0.0001549211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01824837,0.00703425,0.6536377,0.00222669,0.001012058,0.006554272,0.08937237,0.0001326425,0.1789665,0.003856922,0.0316803,0.007277959],"study_design_scores_gemma":[0.03924966,0.008072929,0.4471819,0.004970076,0.0004487986,0.0008907026,0.007422864,0.0007610864,0.1441981,0.009331455,0.3336252,0.003847191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795849,0.003916868,0.000007634667,0.001687524,0.0003320465,0.002112853,0.00006655528,0.0001990626,0.01209255],"genre_scores_gemma":[0.9951981,0.00003996254,0.0008018588,0.0005128004,0.0003256024,0.0008069979,0.00009407257,0.00006765431,0.00215292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3019449,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529209453177802,"score_gpt":0.2490300102219876,"score_spread":0.2337379156902096,"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."}}