{"id":"W4380574630","doi":"10.20944/preprints202306.1022.v1","title":"An Integrated Multi-OMICS Approach Highlights Elevated Non-esterified Fatty Acids Impact BeWo Trophoblast Metabolism and Lipid Processing","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Birth, Development, and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Victoria Hospital; London Health Sciences Centre; The Metabolomics Innovation Centre; Lawson Health Research Institute; University of Alberta; Western University","funders":"National Institutes of Health; Genome Canada","keywords":"Lipid metabolism; Gestational diabetes; Trophoblast; Offspring; Metabolomics; Endocrinology; Biology; Internal medicine; Placenta; Omics; NEFA; Beta oxidation; Metabolism; Biochemistry; Fatty acid; Fetus; Pregnancy; Medicine; Bioinformatics; Gestation; Genetics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001309371,0.001134212,0.001939782,0.0007037211,0.000354149,0.0001502112,0.0006722172,0.001275399,0.00009579427],"category_scores_gemma":[0.0001996315,0.0009400548,0.0002959746,0.0006356574,0.0002678677,0.0002692966,0.001048137,0.002643644,0.0002641816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005300732,"about_ca_system_score_gemma":0.002139286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009742905,"about_ca_topic_score_gemma":0.00005560755,"domain_scores_codex":[0.9942561,0.000268164,0.001367673,0.002358537,0.0006464598,0.001103045],"domain_scores_gemma":[0.995807,0.000039518,0.0007664562,0.001729387,0.000624523,0.001033136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002215142,0.002008334,0.7757888,0.005465284,0.001252722,0.0001200304,0.01446605,0.0003013258,0.195416,0.0003009652,0.00006065298,0.002604707],"study_design_scores_gemma":[0.003173456,0.00009992391,0.9602939,0.0007789689,0.0003597592,0.00007330987,0.0004422799,0.01053919,0.022667,0.0003075495,0.000368328,0.0008962596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871458,0.0001566347,0.00723003,0.0004737807,0.0008110263,0.00263045,0.0001362058,0.0009291859,0.0004869305],"genre_scores_gemma":[0.9697216,0.009919269,0.01651334,0.0002875806,0.0005623965,0.0003717894,0.002066282,0.000268212,0.0002895603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845052,"threshold_uncertainty_score":0.9996573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266421956139626,"score_gpt":0.373628602831581,"score_spread":0.2469864072176184,"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."}}