{"id":"W4386461496","doi":"10.3389/fgene.2023.1248088","title":"eoPred: predicting the placental phenotype of early-onset preeclampsia using public DNA methylation data","year":2023,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Children's Hospital","keywords":"Preeclampsia; DNA methylation; Phenotype; Methylation; Genetics; Biology; DNA; Epigenetics; Andrology; Computational biology; Medicine; Obstetrics; Bioinformatics; Pregnancy; Gene; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.0006559822,0.0001459786,0.0002892707,0.000178601,0.0001309868,0.00001916601,0.0003876346,0.00011332,0.000007786944],"category_scores_gemma":[0.0002896148,0.0001168743,0.0000474223,0.0006774568,0.0001787881,0.0001179874,0.0004534711,0.0002338495,0.000003427585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005569816,"about_ca_system_score_gemma":0.0001361018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000349293,"about_ca_topic_score_gemma":0.00003163989,"domain_scores_codex":[0.998525,0.0001318925,0.0003688412,0.0003024845,0.0003459301,0.0003258851],"domain_scores_gemma":[0.9988201,0.0001101031,0.00014462,0.000816936,0.00005354822,0.00005473607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009741692,0.0000377311,0.9825746,0.0001062594,0.0001655556,0.000006087077,0.002400426,0.0002684143,0.0004532835,0.00001160689,0.004725913,0.009152744],"study_design_scores_gemma":[0.001289467,0.0001525801,0.868551,0.0003248141,0.0002541955,0.00001110035,0.002955912,0.1217784,0.001621645,0.001022239,0.001837464,0.0002012194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864169,0.006760332,0.00404554,0.0003411966,0.0009825819,0.0005607915,0.0001324773,0.00007359975,0.000686529],"genre_scores_gemma":[0.9863133,0.0008443046,0.01235641,0.00004019968,0.0001319792,0.00001075447,0.0001889342,0.00002643842,0.00008760973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12151,"threshold_uncertainty_score":0.4765996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0873242633155278,"score_gpt":0.3135141579872676,"score_spread":0.2261898946717398,"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."}}