{"id":"W3089545534","doi":"10.1096/fba.2020-00057","title":"Modelling preeclampsia: a comparative analysis of the common human trophoblast cell lines","year":2020,"lang":"en","type":"article","venue":"FASEB BioAdvances","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Bill and Melinda Gates Foundation; Queen's University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Grand Challenges Canada; Queen's University Belfast; Department for International Development; United States Agency for International Development","keywords":"Trophoblast; Hypoxia (environmental); Umbilical vein; Preeclampsia; Placenta; Soluble fms-like tyrosine kinase-1; Messenger RNA; Cell culture; Biology; Endocrinology; Internal medicine; Andrology; Cell biology; Pharmacology; Chemistry; Fetus; Placental growth factor; Gene; Medicine; In vitro; Biochemistry; Genetics; Oxygen; Pregnancy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005610222,0.0001824446,0.0007074069,0.00007463488,0.0001854431,0.000007742695,0.0001836915,0.00005313395,0.00003227654],"category_scores_gemma":[0.00001229219,0.0001160744,0.0003173265,0.00094407,0.0002652163,0.00007571306,0.0001009726,0.0001664727,0.000003868205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001364536,"about_ca_system_score_gemma":0.00002431033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004771657,"about_ca_topic_score_gemma":0.0001285133,"domain_scores_codex":[0.9988713,0.00007428347,0.0003536294,0.0002739837,0.000247059,0.0001797981],"domain_scores_gemma":[0.9992269,0.0001028001,0.0002173913,0.0002985561,0.0000783366,0.00007606328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001131702,0.0008475719,0.5662811,0.00125745,0.005800833,0.00003439258,0.0309213,0.3005519,0.08902758,0.002250681,0.001097102,0.0007983153],"study_design_scores_gemma":[0.004076571,0.001690826,0.04432876,0.0009424849,0.00976894,0.000004972339,0.008415443,0.28332,0.6357806,0.0006177354,0.01017574,0.0008778971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826542,0.006157535,0.00208277,0.0008055122,0.00006244672,0.0003631824,0.00008778595,0.00005340426,0.00773321],"genre_scores_gemma":[0.9980047,0.0002155819,0.001196297,0.0002897273,0.00007842938,0.00001842444,0.0000267547,0.000007511826,0.0001625429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.546753,"threshold_uncertainty_score":0.4733376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06266902690110067,"score_gpt":0.3060727793508302,"score_spread":0.2434037524497296,"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."}}